| { |
| "_comment": [ |
| "Attribution for the third-party material the benchmark data is derived from.", |
| "`papers`: JMLR. Every record was read from the published PDF's page-1 footer. Volume 18 (2017) onward is CC-BY 4.0; earlier volumes state no public licence, and those 4 papers' text is rewritten in our own words.", |
| "`iclr`: ICLR papers on OpenReview under CC-BY 4.0. Each `key` is the OpenReview forum id and the item id in backward-verification.jsonl; the forum page carries the title, authors and licence.", |
| "`lecture_sources`: lecture notes and textbooks, each publicly available or used with the permission of its authors.", |
| "Our own contributions (Lean statements and proofs, labels, annotations, text we wrote) are CC BY 4.0, see Benchmarks/LICENSE." |
| ], |
| "papers": [ |
| { |
| "key": "v26-21-0039", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "title": "Manifold Fitting under Unbounded Noise", |
| "authors": "Zhigang Yao, Yuqing Xia", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "26", |
| "issue": "45", |
| "pages": "1-55", |
| "year": "2025", |
| "url": "https://jmlr.org/papers/v26/21-0039.html", |
| "pdf_url": "https://jmlr.org/papers/volume26/21-0039/21-0039.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU), with the OCR's LaTeX spacing tightened; running headers and footers, including the copyright and licence lines, were dropped" |
| ], |
| "copyright_notice": "©2025 Zhigang Yao and Yuqing Xia.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v26-22-1262", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "title": "Unbalanced Kantorovich-Rubinstein distance, plan, and barycenter on finite spaces: A statistical perspective", |
| "authors": "Shayan Hundrieser, Florian Heinemann, Marcel Klatt, Marina Struleva, Axel Munk", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "26", |
| "issue": "37", |
| "pages": "1-70", |
| "year": "2025", |
| "url": "https://jmlr.org/papers/v26/22-1262.html", |
| "pdf_url": "https://jmlr.org/papers/volume26/22-1262/22-1262.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU), with the OCR's LaTeX spacing tightened; running headers and footers, including the copyright and licence lines, were dropped", |
| "3 correction(s) applied to the text as printed, 3 of them to typographical errors in the published paper rather than to OCR damage" |
| ], |
| "copyright_notice": "©2025 Shayan Hundrieser, Florian Heinemann, Marcel Klatt, Marina Struleva, Axel Munk.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v26-23-0102", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "title": "On Model Identification and Out-of-Sample Prediction of PCR with Applications to Synthetic Controls", |
| "authors": "Anish Agarwal, Devavrat Shah, Dennis Shen", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "26", |
| "issue": "117", |
| "pages": "1-58", |
| "year": "2025", |
| "url": "https://jmlr.org/papers/v26/23-0102.html", |
| "pdf_url": "https://jmlr.org/papers/volume26/23-0102/23-0102.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU), with the OCR's LaTeX spacing tightened; running headers and footers, including the copyright and licence lines, were dropped", |
| "1 correction(s) applied to the text as printed, 1 of them to typographical errors in the published paper rather than to OCR damage" |
| ], |
| "copyright_notice": "©2025 Anish Agarwal, Devavrat Shah, and Dennis Shen.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v26-23-0455", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "title": "Biological Sequence Kernels with Guaranteed Flexibility", |
| "authors": "Alan N. Amin, Debora S. Marks, Eli N. Weinstein", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "26", |
| "issue": "216", |
| "pages": "1-63", |
| "year": "2025", |
| "url": "https://jmlr.org/papers/v26/23-0455.html", |
| "pdf_url": "https://jmlr.org/papers/volume26/23-0455/23-0455.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU), with the OCR's LaTeX spacing tightened; running headers and footers, including the copyright and licence lines, were dropped", |
| "5 correction(s) applied to the text as printed, 5 of them to typographical errors in the published paper rather than to OCR damage" |
| ], |
| "copyright_notice": "©2025 Alan N. Amin and Debora S. Marks and Eli N. Weinstein.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v26-23-0832", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "title": "Random Pruning Over-parameterized Neural Networks Can Improve Generalization: A Training Dynamics Analysis", |
| "authors": "Hongru Yang, Yingbin Liang, Xiaojie Guo, Lingfei Wu, Zhangyang Wang", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "26", |
| "issue": "84", |
| "pages": "1-51", |
| "year": "2025", |
| "url": "https://jmlr.org/papers/v26/23-0832.html", |
| "pdf_url": "https://jmlr.org/papers/volume26/23-0832/23-0832.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU), with the OCR's LaTeX spacing tightened; running headers and footers, including the copyright and licence lines, were dropped", |
| "text the OCR garbled was rebuilt by comparison with the published PDF", |
| "2 correction(s) applied to the text as printed, 2 of them to typographical errors in the published paper rather than to OCR damage" |
| ], |
| "copyright_notice": "©2025 Hongru Yang, Yingbin Liang, Xiaojie Guo, Lingfei Wu and Zhangyang Wang.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v26-23-1104", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "title": "Near-Optimal Nonconvex-Strongly-Convex Bilevel Optimization with Fully First-Order Oracles", |
| "authors": "Lesi Chen, Yaohua Ma, Jingzhao Zhang", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "26", |
| "issue": "109", |
| "pages": "1-56", |
| "year": "2025", |
| "url": "https://jmlr.org/papers/v26/23-1104.html", |
| "pdf_url": "https://jmlr.org/papers/volume26/23-1104/23-1104.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU), with the OCR's LaTeX spacing tightened; running headers and footers, including the copyright and licence lines, were dropped", |
| "text the OCR garbled was rebuilt by comparison with the published PDF", |
| "4 correction(s) applied to the text as printed, 4 of them to typographical errors in the published paper rather than to OCR damage" |
| ], |
| "copyright_notice": "©2025 Lesi Chen, Yaohua Ma and Jingzhao Zhang.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v26-23-1519", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "title": "Bagged Regularized k-Distances for Anomaly Detection", |
| "authors": "Yuchao Cai, Hanfang Yang, Yuheng Ma, Hanyuan Hang", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "26", |
| "issue": "178", |
| "pages": "1-59", |
| "year": "2025", |
| "url": "https://jmlr.org/papers/v26/23-1519.html", |
| "pdf_url": "https://jmlr.org/papers/volume26/23-1519/23-1519.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU), with the OCR's LaTeX spacing tightened; running headers and footers, including the copyright and licence lines, were dropped", |
| "text the OCR garbled was rebuilt by comparison with the published PDF", |
| "1 correction(s) applied to the text as printed, 1 of them to typographical errors in the published paper rather than to OCR damage" |
| ], |
| "copyright_notice": "©2025 Yuchao Cai, Hanfang Yang, Yuheng Ma, Hanyuan Hang.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v26-23-1679", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "title": "Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensions", |
| "authors": "Haobo Zhang, Yicheng Li, Weihao Lu, Qian Lin", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "26", |
| "issue": "219", |
| "pages": "1-63", |
| "year": "2025", |
| "url": "https://jmlr.org/papers/v26/23-1679.html", |
| "pdf_url": "https://jmlr.org/papers/volume26/23-1679/23-1679.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU), with the OCR's LaTeX spacing tightened; running headers and footers, including the copyright and licence lines, were dropped", |
| "4 correction(s) applied to the text as printed, 4 of them to typographical errors in the published paper rather than to OCR damage" |
| ], |
| "copyright_notice": "©2025 Haobo Zhang, Yicheng Li, Weihao Lu and Qian Lin.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v26-24-0194", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "title": "Score-based Causal Representation Learning: Linear and General Transformations", |
| "authors": "Burak Varici, Emre Acartürk, Karthikeyan Shanmugam, Abhishek Kumar, Ali Tajer", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "26", |
| "issue": "112", |
| "pages": "1-90", |
| "year": "2025", |
| "url": "https://jmlr.org/papers/v26/24-0194.html", |
| "pdf_url": "https://jmlr.org/papers/volume26/24-0194/24-0194.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU), with the OCR's LaTeX spacing tightened; running headers and footers, including the copyright and licence lines, were dropped", |
| "text the OCR garbled was rebuilt by comparison with the published PDF", |
| "1 correction(s) applied to the text as printed, 1 of them to typographical errors in the published paper rather than to OCR damage" |
| ], |
| "copyright_notice": "©2025 Burak Varıcı, Emre Acartürk, Karthikeyan Shanmugam, Abhishek Kumar, and Ali Tajer.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v26-24-0579", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "title": "The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond", |
| "authors": "Jiin Woo, Gauri Joshi, Yuejie Chi", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "26", |
| "issue": "26", |
| "pages": "1-85", |
| "year": "2025", |
| "url": "https://jmlr.org/papers/v26/24-0579.html", |
| "pdf_url": "https://jmlr.org/papers/volume26/24-0579/24-0579.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU), with the OCR's LaTeX spacing tightened; running headers and footers, including the copyright and licence lines, were dropped" |
| ], |
| "copyright_notice": "©2025 Jiin Woo, Gauri Joshi, Yuejie Chi.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v26-24-1178", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "title": "Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methods", |
| "authors": "Bertille FOLLAIN, Francis BACH", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "26", |
| "issue": "172", |
| "pages": "1-56", |
| "year": "2025", |
| "url": "https://jmlr.org/papers/v26/24-1178.html", |
| "pdf_url": "https://jmlr.org/papers/volume26/24-1178/24-1178.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU), with the OCR's LaTeX spacing tightened; running headers and footers, including the copyright and licence lines, were dropped" |
| ], |
| "copyright_notice": "©2025 Bertille FOLLAIN and Francis BACH.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v26-24-2016", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "title": "Minimax Optimal Two-Sample Testing under Local Differential Privacy", |
| "authors": "Jongmin Mun, Seungwoo Kwak, Ilmun Kim", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "26", |
| "issue": "252", |
| "pages": "1-79", |
| "year": "2025", |
| "url": "https://jmlr.org/papers/v26/24-2016.html", |
| "pdf_url": "https://jmlr.org/papers/volume26/24-2016/24-2016.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU), with the OCR's LaTeX spacing tightened; running headers and footers, including the copyright and licence lines, were dropped", |
| "text the OCR garbled was rebuilt by comparison with the published PDF", |
| "5 correction(s) applied to the text as printed, 4 of them to typographical errors in the published paper rather than to OCR damage, and 1 removing a clause that defines a symbol no longer used once those corrections are applied" |
| ], |
| "copyright_notice": "©2025 Jongmin Mun, Seungwoo Kwak and Ilmun Kim.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v26-24-2230", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "title": "Frontiers to the learning of nonparametric hidden Markov models", |
| "authors": "Kweku Abraham, Elisabeth Gassiat, Zacharie Naulet", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "26", |
| "issue": "155", |
| "pages": "1-75", |
| "year": "2025", |
| "url": "https://jmlr.org/papers/v26/24-2230.html", |
| "pdf_url": "https://jmlr.org/papers/volume26/24-2230/24-2230.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU), with the OCR's LaTeX spacing tightened; running headers and footers, including the copyright and licence lines, were dropped", |
| "1 correction(s) applied to the text as printed, 1 of them to typographical errors in the published paper rather than to OCR damage" |
| ], |
| "copyright_notice": "©2025 Kweku Abraham, Elisabeth Gassiat and Zacharie Naulet.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v26-25-0183", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "title": "Estimation of Local Geometric Structure on Manifolds from Noisy Data", |
| "authors": "Yariv Aizenbud, Barak Sober", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "26", |
| "issue": "64", |
| "pages": "1-89", |
| "year": "2025", |
| "url": "https://jmlr.org/papers/v26/25-0183.html", |
| "pdf_url": "https://jmlr.org/papers/volume26/25-0183/25-0183.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU), with the OCR's LaTeX spacing tightened; running headers and footers, including the copyright and licence lines, were dropped", |
| "text the OCR garbled was rebuilt by comparison with the published PDF", |
| "2 correction(s) applied to the text as printed, 2 of them to typographical errors in the published paper rather than to OCR damage" |
| ], |
| "copyright_notice": "©2025 Yariv Aizenbud and Barak Sober.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v26-25-0657", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "title": "Second-order Information Promotes Mini-Batch Robustness in Variance-Reduced Gradients", |
| "authors": "Sachin Garg, Albert S. Berahas, Michał Dereziński", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "26", |
| "issue": "306", |
| "pages": "1-49", |
| "year": "2025", |
| "url": "https://jmlr.org/papers/v26/25-0657.html", |
| "pdf_url": "https://jmlr.org/papers/volume26/25-0657/25-0657.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU), with the OCR's LaTeX spacing tightened; running headers and footers, including the copyright and licence lines, were dropped" |
| ], |
| "copyright_notice": "©2025 Sachin Garg, Albert S. Berahas, and Michał Dereziński.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v27-22-1194", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "title": "A Reinforcement Learning Approach in Multi-Phase Second-Price Auction Design", |
| "authors": "Rui Ai, Boxiang Lyu, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "27", |
| "issue": "14", |
| "pages": "1-55", |
| "year": "2026", |
| "url": "https://jmlr.org/papers/v27/22-1194.html", |
| "pdf_url": "https://jmlr.org/papers/volume27/22-1194/22-1194.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU), with the OCR's LaTeX spacing tightened; running headers and footers, including the copyright and licence lines, were dropped", |
| "1 correction(s) applied to the text as printed, 1 of them to typographical errors in the published paper rather than to OCR damage" |
| ], |
| "copyright_notice": "©2026 Ai, Lyu, Wang, Yang, and Jordan.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v27-24-0456", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "title": "Persistence Diagrams Estimation of Multivariate Piecewise Hölder-continuous Signals", |
| "authors": "Hugo Henneuse", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "27", |
| "issue": "31", |
| "pages": "1-55", |
| "year": "2026", |
| "url": "https://jmlr.org/papers/v27/24-0456.html", |
| "pdf_url": "https://jmlr.org/papers/volume27/24-0456/24-0456.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU), with the OCR's LaTeX spacing tightened; running headers and footers, including the copyright and licence lines, were dropped", |
| "text the OCR garbled or lost was rebuilt by comparison with the published PDF, including Diagram (17), re-typeset as a LaTeX array", |
| "1 correction(s) applied to the text as printed" |
| ], |
| "copyright_notice": "©2026 Hugo Henneuse.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v27-24-0771", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "title": "Nonparametric Partial Disentanglement via Mechanism Sparsity: Sparse Actions, Interventions and Sparse Temporal Dependencies", |
| "authors": "Sébastien Lachapelle, Pau Rodríguez López, Yash Sharma, Katie Everett, Rémi Le Priol, Alexandre Lacoste, Simon Lacoste-Julien", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "27", |
| "issue": "71", |
| "pages": "1-90", |
| "year": "2026", |
| "url": "https://jmlr.org/papers/v27/24-0771.html", |
| "pdf_url": "https://jmlr.org/papers/volume27/24-0771/24-0771.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU), with the OCR's LaTeX spacing tightened; running headers and footers, including the copyright and licence lines, were dropped", |
| "text the OCR garbled was rebuilt by comparison with the published PDF", |
| "3 correction(s) applied to the text as printed, 3 of them to typographical errors in the published paper rather than to OCR damage" |
| ], |
| "copyright_notice": "©2026 Sébastien Lachapelle, Pau Rodrı́guez López, Yash Sharma, Katie Everett, Rémi Le Priol, Alexandre Lacoste, Simon.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v27-24-1484", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "title": "Asymptotics of Stochastic Gradient Descent with Dropout Regularization in Linear Models", |
| "authors": "Jiaqi Li, Johannes Schmidt-Hieber, Wei Biao Wu", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "27", |
| "issue": "83", |
| "pages": "1-78", |
| "year": "2026", |
| "url": "https://jmlr.org/papers/v27/24-1484.html", |
| "pdf_url": "https://jmlr.org/papers/volume27/24-1484/24-1484.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU), with the OCR's LaTeX spacing tightened; running headers and footers, including the copyright and licence lines, were dropped" |
| ], |
| "copyright_notice": "©2026 Jiaqi Li, Johannes Schmidt-Hieber, Wei Biao Wu.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v27-24-1538", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "title": "Almost Sure Convergence of Linear Temporal Difference Learning with Arbitrary Features", |
| "authors": "Jiuqi Wang, Shangtong Zhang", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "27", |
| "issue": "84", |
| "pages": "1-36", |
| "year": "2026", |
| "url": "https://jmlr.org/papers/v27/24-1538.html", |
| "pdf_url": "https://jmlr.org/papers/volume27/24-1538/24-1538.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU), with the OCR's LaTeX spacing tightened; running headers and footers, including the copyright and licence lines, were dropped" |
| ], |
| "copyright_notice": "©2026 Jiuqi Wang, Shangtong Zhang.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v27-24-1748", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "title": "On the Relevance of Byzantine Robust Optimization Against Data Poisoning", |
| "authors": "Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "27", |
| "issue": "87", |
| "pages": "1-44", |
| "year": "2026", |
| "url": "https://jmlr.org/papers/v27/24-1748.html", |
| "pdf_url": "https://jmlr.org/papers/volume27/24-1748/24-1748.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU), with the OCR's LaTeX spacing tightened; running headers and footers, including the copyright and licence lines, were dropped", |
| "1 correction(s) applied to the text as printed, 1 of them to typographical errors in the published paper rather than to OCR damage" |
| ], |
| "copyright_notice": "©2026 Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta and Rafael Pinot.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v27-25-0012", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "title": "Guaranteed Nonconvex Low-Rank Tensor Estimation via Scaled Gradient Descent", |
| "authors": "Tong Wu", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "27", |
| "issue": "9", |
| "pages": "1-90", |
| "year": "2026", |
| "url": "https://jmlr.org/papers/v27/25-0012.html", |
| "pdf_url": "https://jmlr.org/papers/volume27/25-0012/25-0012.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU), with the OCR's LaTeX spacing tightened; running headers and footers, including the copyright and licence lines, were dropped", |
| "text the OCR garbled was rebuilt by comparison with the published PDF" |
| ], |
| "copyright_notice": "©2026 Tong Wu.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v27-25-0376", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "title": "A Data-Augmented Contrastive Learning Approach to Nonparametric Density Estimation", |
| "authors": "Chenghao Li, Yuanyuan Lin", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "27", |
| "issue": "10", |
| "pages": "1-47", |
| "year": "2026", |
| "url": "https://jmlr.org/papers/v27/25-0376.html", |
| "pdf_url": "https://jmlr.org/papers/volume27/25-0376/25-0376.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU), with the OCR's LaTeX spacing tightened; running headers and footers, including the copyright and licence lines, were dropped", |
| "2 correction(s) applied to the text as printed, 2 of them to typographical errors in the published paper rather than to OCR damage" |
| ], |
| "copyright_notice": "©2026 Chenghao Li and Yuanyuan Lin.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v27-25-0989", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "title": "Online Bernstein-von Mises theorem", |
| "authors": "Jeyong Lee, Junhyeok Choi, Minwoo Chae", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "27", |
| "issue": "49", |
| "pages": "1-124", |
| "year": "2026", |
| "url": "https://jmlr.org/papers/v27/25-0989.html", |
| "pdf_url": "https://jmlr.org/papers/volume27/25-0989/25-0989.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU), with the OCR's LaTeX spacing tightened; running headers and footers, including the copyright and licence lines, were dropped" |
| ], |
| "copyright_notice": "©2026 Jeyong Lee, Junhyeok Choi and Minwoo Chae.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v27-25-1449", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "title": "Finite-Time Decoupled Convergence in Nonlinear Two-Time-Scale Stochastic Approximation", |
| "authors": "Yuze Han, Xiang Li, Zhihua Zhang", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "27", |
| "issue": "112", |
| "pages": "1-69", |
| "year": "2026", |
| "url": "https://jmlr.org/papers/v27/25-1449.html", |
| "pdf_url": "https://jmlr.org/papers/volume27/25-1449/25-1449.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU), with the OCR's LaTeX spacing tightened; running headers and footers, including the copyright and licence lines, were dropped", |
| "text the OCR garbled was rebuilt by comparison with the published PDF", |
| "6 correction(s) applied to the text as printed, 6 of them to typographical errors in the published paper rather than to OCR damage" |
| ], |
| "copyright_notice": "©2026 Yuze Han, Xiang Li, and Zhihua Zhang.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v27-25-2383", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "title": "The Sample Complexity of Parameter-Free Stochastic Convex Optimization", |
| "authors": "Jared Lawrence, Ari Kalinsky, Hannah Bradfield, Yair Carmon, Oliver Hinder", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "27", |
| "issue": "133", |
| "pages": "1-46", |
| "year": "2026", |
| "url": "https://jmlr.org/papers/v27/25-2383.html", |
| "pdf_url": "https://jmlr.org/papers/volume27/25-2383/25-2383.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU), with the OCR's LaTeX spacing tightened; running headers and footers, including the copyright and licence lines, were dropped" |
| ], |
| "copyright_notice": "©2026 Jared Lawrence, Ari Kalinsky, Hannah Bradfield, Yair Carmon, and Oliver Hinder.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v3-bartlett02a", |
| "used_by": [ |
| "forward_construction" |
| ], |
| "title": "Rademacher and Gaussian Complexities: Risk Bounds and Structural Results", |
| "authors": "Peter L. Bartlett, Shahar Mendelson", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "3", |
| "issue": "Nov", |
| "pages": "463-482", |
| "year": "2002", |
| "url": "https://jmlr.org/papers/v3/bartlett02a.html", |
| "pdf_url": "https://jmlr.org/papers/volume3/bartlett02a/bartlett02a.pdf", |
| "modifications": [ |
| "excerpt only: selected passages of text converted from the published PDF by an OCR pipeline (MinerU); running headers and footers, including the copyright and licence lines, were dropped", |
| "the statements, proofs and context in `targets`, `nl_proof` and `context` are rewritten in our own words with the mathematics unchanged", |
| "a statement may carry a minimal edit so that it says what the Lean target says" |
| ], |
| "copyright_notice": null, |
| "license": "none-stated", |
| "license_evidence": "page-1 footer of the published PDF states copyright only, with no licence line" |
| }, |
| { |
| "key": "v3-brafman02a", |
| "used_by": [ |
| "forward_construction" |
| ], |
| "title": "R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning", |
| "authors": "Ronen I. Brafman, Moshe Tennenholtz", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "3", |
| "issue": "Oct", |
| "pages": "213-231", |
| "year": "2002", |
| "url": "https://jmlr.org/papers/v3/brafman02a.html", |
| "pdf_url": "https://jmlr.org/papers/volume3/brafman02a/brafman02a.pdf", |
| "modifications": [ |
| "excerpt only: selected passages of text converted from the published PDF by an OCR pipeline (MinerU); running headers and footers, including the copyright and licence lines, were dropped", |
| "the statements, proofs and context in `targets`, `nl_proof` and `context` are rewritten in our own words with the mathematics unchanged", |
| "a statement may carry a minimal edit so that it says what the Lean target says" |
| ], |
| "copyright_notice": "©2002 Ronen I. Brafman and Moshe Tennenholtz.", |
| "license": "none-stated", |
| "license_evidence": "page-1 footer of the published PDF states copyright only, with no licence line" |
| }, |
| { |
| "key": "v7-evendar06a", |
| "used_by": [ |
| "forward_construction" |
| ], |
| "title": "Action Elimination and Stopping Conditions for the Multi-Armed Bandit and Reinforcement Learning Problems", |
| "authors": "Eyal Even-Dar, Shie Mannor, Yishay Mansour", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "7", |
| "issue": "39", |
| "pages": "1079-1105", |
| "year": "2006", |
| "url": "https://jmlr.org/papers/v7/evendar06a.html", |
| "pdf_url": "https://jmlr.org/papers/volume7/evendar06a/evendar06a.pdf", |
| "modifications": [ |
| "excerpt only: selected passages of text converted from the published PDF by an OCR pipeline (MinerU); running headers and footers, including the copyright and licence lines, were dropped", |
| "the statements, proofs and context in `targets`, `nl_proof` and `context` are rewritten in our own words with the mathematics unchanged", |
| "a statement may carry a minimal edit so that it says what the Lean target says" |
| ], |
| "copyright_notice": "©2006 Eyal Even-Dar, Shie Mannor and Yishay Mansour.", |
| "license": "none-stated", |
| "license_evidence": "page-1 footer of the published PDF states copyright only, with no licence line" |
| }, |
| { |
| "key": "v10-duchi09a", |
| "used_by": [ |
| "forward_construction" |
| ], |
| "title": "Efficient Online and Batch Learning Using Forward Backward Splitting", |
| "authors": "John Duchi, Yoram Singer", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "10", |
| "issue": "99", |
| "pages": "2899-2934", |
| "year": "2009", |
| "url": "https://jmlr.org/papers/v10/duchi09a.html", |
| "pdf_url": "https://jmlr.org/papers/volume10/duchi09a/duchi09a.pdf", |
| "modifications": [ |
| "excerpt only: selected passages of text converted from the published PDF by an OCR pipeline (MinerU); running headers and footers, including the copyright and licence lines, were dropped", |
| "the statements, proofs and context in `targets`, `nl_proof` and `context` are rewritten in our own words with the mathematics unchanged", |
| "a statement may carry a minimal edit so that it says what the Lean target says" |
| ], |
| "copyright_notice": "©2009 John Duchi and Yoram Singer.", |
| "license": "none-stated", |
| "license_evidence": "page-1 footer of the published PDF states copyright only, with no licence line" |
| }, |
| { |
| "key": "v23-20-1353", |
| "used_by": [ |
| "forward_construction" |
| ], |
| "title": "Improved Generalization Bounds for Adversarially Robust Learning", |
| "authors": "Idan Attias, Aryeh Kontorovich, Yishay Mansour", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "23", |
| "issue": "175", |
| "pages": "1-31", |
| "year": "2022", |
| "url": "https://jmlr.org/papers/v23/20-1353.html", |
| "pdf_url": "https://jmlr.org/papers/volume23/20-1353/20-1353.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU) — the target statements (`targets`), their proofs (`nl_proof`) and the setup, definitions and results they use (`context`); running headers and footers, including the copyright and licence lines, were dropped", |
| "the OCR's LaTeX spacing was tightened, and OCR damage was repaired by comparison with the published PDF, while misprints in the published text are kept", |
| "a statement may carry a minimal edit so that it says what the Lean target says" |
| ], |
| "copyright_notice": "©2022 Idan Attias, Aryeh Kontorovich, and Yishay Mansour.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v23-20-411", |
| "used_by": [ |
| "forward_construction" |
| ], |
| "title": "No Weighted-Regret Learning in Adversarial Bandits with Delays", |
| "authors": "Ilai Bistritz, Zhengyuan Zhou, Xi Chen, Nicholas Bambos, Jose Blanchet", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "23", |
| "issue": "139", |
| "pages": "1-43", |
| "year": "2022", |
| "url": "https://jmlr.org/papers/v23/20-411.html", |
| "pdf_url": "https://jmlr.org/papers/volume23/20-411/20-411.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU) — the target statements (`targets`), their proofs (`nl_proof`) and the setup, definitions and results they use (`context`); running headers and footers, including the copyright and licence lines, were dropped", |
| "the OCR's LaTeX spacing was tightened, and OCR damage was repaired by comparison with the published PDF, while misprints in the published text are kept", |
| "a statement may carry a minimal edit so that it says what the Lean target says" |
| ], |
| "copyright_notice": "©2022 Ilai Bistritz, Zhengyuan Zhou, Xi Chen, Nicholas Bambos, Jose Blanchet.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v23-21-0152", |
| "used_by": [ |
| "forward_construction" |
| ], |
| "title": "Mitigating the Effects of Non-Identifiability on Inference for Bayesian Neural Networks with Latent Variables", |
| "authors": "Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "23", |
| "issue": "244", |
| "pages": "1-54", |
| "year": "2022", |
| "url": "https://jmlr.org/papers/v23/21-0152.html", |
| "pdf_url": "https://jmlr.org/papers/volume23/21-0152/21-0152.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU) — the target statements (`targets`), their proofs (`nl_proof`) and the setup, definitions and results they use (`context`); running headers and footers, including the copyright and licence lines, were dropped", |
| "the OCR's LaTeX spacing was tightened, and OCR damage was repaired by comparison with the published PDF, while misprints in the published text are kept", |
| "a statement may carry a minimal edit so that it says what the Lean target says", |
| "the statement of the concentration step (where Cantelli's inequality is applied in the proofs of Theorems 1 and 2, Appendix B.1/B.2) is written in our own words, as the paper does not state it as a result" |
| ], |
| "copyright_notice": "©2022 Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v23-21-1027", |
| "used_by": [ |
| "forward_construction" |
| ], |
| "title": "Online Mirror Descent and Dual Averaging: Keeping Pace in the Dynamic Case", |
| "authors": "Huang Fang, Nicholas J. A. Harvey, Victor S. Portella, Michael P. Friedlander", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "23", |
| "issue": "121", |
| "pages": "1-38", |
| "year": "2022", |
| "url": "https://jmlr.org/papers/v23/21-1027.html", |
| "pdf_url": "https://jmlr.org/papers/volume23/21-1027/21-1027.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU) — the target statements (`targets`), their proofs (`nl_proof`) and the setup, definitions and results they use (`context`); running headers and footers, including the copyright and licence lines, were dropped", |
| "the OCR's LaTeX spacing was tightened, and OCR damage was repaired by comparison with the published PDF, while misprints in the published text are kept", |
| "a statement may carry a minimal edit so that it says what the Lean target says" |
| ], |
| "copyright_notice": "©2022 Huang Fang, Nicholas J. A. Harvey, Victor S. Portella and Michael P. Friedlander.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v24-19-980", |
| "used_by": [ |
| "forward_construction" |
| ], |
| "title": "Reinforcement Learning for Joint Optimization of Multiple Rewards", |
| "authors": "Mridul Agarwal, Vaneet Aggarwal", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "24", |
| "issue": "49", |
| "pages": "1-41", |
| "year": "2023", |
| "url": "https://jmlr.org/papers/v24/19-980.html", |
| "pdf_url": "https://jmlr.org/papers/volume24/19-980/19-980.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU) — the target statements (`targets`), their proofs (`nl_proof`) and the setup, definitions and results they use (`context`); running headers and footers, including the copyright and licence lines, were dropped", |
| "the OCR's LaTeX spacing was tightened, and OCR damage was repaired by comparison with the published PDF, while misprints in the published text are kept", |
| "a statement may carry a minimal edit so that it says what the Lean target says" |
| ], |
| "copyright_notice": "©2023 Mridul Agarwal, Vaneet Aggarwal.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v24-21-1250", |
| "used_by": [ |
| "forward_construction" |
| ], |
| "title": "PAC-learning for Strategic Classification", |
| "authors": "Ravi Sundaram, Anil Vullikanti, Haifeng Xu, Fan Yao", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "24", |
| "issue": "192", |
| "pages": "1-38", |
| "year": "2023", |
| "url": "https://jmlr.org/papers/v24/21-1250.html", |
| "pdf_url": "https://jmlr.org/papers/volume24/21-1250/21-1250.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU) — the target statements (`targets`), their proofs (`nl_proof`) and the setup, definitions and results they use (`context`); running headers and footers, including the copyright and licence lines, were dropped", |
| "the OCR's LaTeX spacing was tightened, and OCR damage was repaired by comparison with the published PDF, while misprints in the published text are kept", |
| "a statement may carry a minimal edit so that it says what the Lean target says", |
| "under Lemma 12, `nl_proof` says that the paper gives no proof of it" |
| ], |
| "copyright_notice": "©2023 Ravi Sundaram, Anil Vullikanti, Haifeng Xu and Fan Yao.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v24-22-0339", |
| "used_by": [ |
| "forward_construction" |
| ], |
| "title": "Minimax Risk Classifiers with 0-1 Loss", |
| "authors": "Santiago Mazuelas, Mauricio Romero, Peter Grunwald", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "24", |
| "issue": "208", |
| "pages": "1-48", |
| "year": "2023", |
| "url": "https://jmlr.org/papers/v24/22-0339.html", |
| "pdf_url": "https://jmlr.org/papers/volume24/22-0339/22-0339.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU) — the target statements (`targets`), their proofs (`nl_proof`) and the setup, definitions and results they use (`context`); running headers and footers, including the copyright and licence lines, were dropped", |
| "the OCR's LaTeX spacing was tightened, and OCR damage was repaired by comparison with the published PDF, while misprints in the published text are kept", |
| "a statement may carry a minimal edit so that it says what the Lean target says" |
| ], |
| "copyright_notice": "©2023 Santiago Mazuelas, Mauricio Romero, and Peter Grünwald.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v24-22-0522", |
| "used_by": [ |
| "forward_construction" |
| ], |
| "title": "Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the O(epsilon^(-7/4)) Complexity", |
| "authors": "Huan Li, Zhouchen Lin", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "24", |
| "issue": "157", |
| "pages": "1-37", |
| "year": "2023", |
| "url": "https://jmlr.org/papers/v24/22-0522.html", |
| "pdf_url": "https://jmlr.org/papers/volume24/22-0522/22-0522.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU) — the target statements (`targets`), their proofs (`nl_proof`) and the setup, definitions and results they use (`context`); running headers and footers, including the copyright and licence lines, were dropped", |
| "the OCR's LaTeX spacing was tightened, and OCR damage was repaired by comparison with the published PDF, while misprints in the published text are kept", |
| "a statement may carry a minimal edit so that it says what the Lean target says" |
| ], |
| "copyright_notice": "©2023 Huan Li and Zhouchen Lin.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v24-22-0747", |
| "used_by": [ |
| "forward_construction" |
| ], |
| "title": "Erratum: Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm", |
| "authors": "Louis-Philippe Vignault, Audrey Durand, Pascal Germain", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "24", |
| "issue": "294", |
| "pages": "1-13", |
| "year": "2023", |
| "url": "https://jmlr.org/papers/v24/22-0747.html", |
| "pdf_url": "https://jmlr.org/papers/volume24/22-0747/22-0747.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU) — the target statements (`targets`), their proofs (`nl_proof`) and the setup, definitions and results they use (`context`); running headers and footers, including the copyright and licence lines, were dropped", |
| "the OCR's LaTeX spacing was tightened, and OCR damage was repaired by comparison with the published PDF, while misprints in the published text are kept", |
| "a statement may carry a minimal edit so that it says what the Lean target says", |
| "the statement of the counter-example to Corollary 2 (Section 4) is written in our own words, as the paper sketches it without stating it as a result" |
| ], |
| "copyright_notice": "©2023 Louis-Philippe Vignault, Audrey Durand, Pascal Germain.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v24-22-0881", |
| "used_by": [ |
| "forward_construction" |
| ], |
| "title": "Sample Complexity for Distributionally Robust Learning under chi-square divergence", |
| "authors": "Zhengyu Zhou, Weiwei Liu", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "24", |
| "issue": "230", |
| "pages": "1-27", |
| "year": "2023", |
| "url": "https://jmlr.org/papers/v24/22-0881.html", |
| "pdf_url": "https://jmlr.org/papers/volume24/22-0881/22-0881.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU) — the target statements (`targets`), their proofs (`nl_proof`) and the setup, definitions and results they use (`context`); running headers and footers, including the copyright and licence lines, were dropped", |
| "the OCR's LaTeX spacing was tightened, and OCR damage was repaired by comparison with the published PDF, while misprints in the published text are kept", |
| "a statement may carry a minimal edit so that it says what the Lean target says" |
| ], |
| "copyright_notice": "©2023 Zhengyu Zhou and Weiwei Liu.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v24-22-1104", |
| "used_by": [ |
| "forward_construction" |
| ], |
| "title": "Leaky Hockey Stick Loss: The First Negatively Divergent Margin-based Loss Function for Classification", |
| "authors": "Oh-Ran Kwon, Hui Zou", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "24", |
| "issue": "239", |
| "pages": "1-40", |
| "year": "2023", |
| "url": "https://jmlr.org/papers/v24/22-1104.html", |
| "pdf_url": "https://jmlr.org/papers/volume24/22-1104/22-1104.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU) — the target statements (`targets`), their proofs (`nl_proof`) and the setup, definitions and results they use (`context`); running headers and footers, including the copyright and licence lines, were dropped", |
| "the OCR's LaTeX spacing was tightened, and OCR damage was repaired by comparison with the published PDF, while misprints in the published text are kept", |
| "a statement may carry a minimal edit so that it says what the Lean target says" |
| ], |
| "copyright_notice": "©2023 Oh-Ran Kwon and Hui Zou.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v24-22-1149", |
| "used_by": [ |
| "forward_construction" |
| ], |
| "title": "Improved Powered Stochastic Optimization Algorithms for Large-Scale Machine Learning", |
| "authors": "Zhuang Yang", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "24", |
| "issue": "241", |
| "pages": "1-29", |
| "year": "2023", |
| "url": "https://jmlr.org/papers/v24/22-1149.html", |
| "pdf_url": "https://jmlr.org/papers/volume24/22-1149/22-1149.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU) — the target statements (`targets`), their proofs (`nl_proof`) and the setup, definitions and results they use (`context`); running headers and footers, including the copyright and licence lines, were dropped", |
| "the OCR's LaTeX spacing was tightened, and OCR damage was repaired by comparison with the published PDF, while misprints in the published text are kept", |
| "a statement may carry a minimal edit so that it says what the Lean target says", |
| "the statement of the inequality of eqs. (14)-(15) is written in our own words, as the paper derives it only as a step inside the proof of Theorem 1" |
| ], |
| "copyright_notice": "©2023 Zhuang Yang.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v24-22-1210", |
| "used_by": [ |
| "forward_construction" |
| ], |
| "title": "Multi-Consensus Decentralized Accelerated Gradient Descent", |
| "authors": "Haishan Ye, Luo Luo, Ziang Zhou, Tong Zhang", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "24", |
| "issue": "306", |
| "pages": "1-50", |
| "year": "2023", |
| "url": "https://jmlr.org/papers/v24/22-1210.html", |
| "pdf_url": "https://jmlr.org/papers/volume24/22-1210/22-1210.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU) — the target statements (`targets`), their proofs (`nl_proof`) and the setup, definitions and results they use (`context`); running headers and footers, including the copyright and licence lines, were dropped", |
| "the OCR's LaTeX spacing was tightened, and OCR damage was repaired by comparison with the published PDF, while misprints in the published text are kept", |
| "a statement may carry a minimal edit so that it says what the Lean target says" |
| ], |
| "copyright_notice": "©2023 Haishan Ye, Luo Luo, Ziang Zhou, and Tong Zhang.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v25-21-0748", |
| "used_by": [ |
| "forward_construction" |
| ], |
| "title": "Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization", |
| "authors": "Peng Zhao, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "25", |
| "issue": "98", |
| "pages": "1-52", |
| "year": "2024", |
| "url": "https://jmlr.org/papers/v25/21-0748.html", |
| "pdf_url": "https://jmlr.org/papers/volume25/21-0748/21-0748.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU) — the target statements (`targets`), their proofs (`nl_proof`) and the setup, definitions and results they use (`context`); running headers and footers, including the copyright and licence lines, were dropped", |
| "the OCR's LaTeX spacing was tightened, and OCR damage was repaired by comparison with the published PDF, while misprints in the published text are kept", |
| "a statement may carry a minimal edit so that it says what the Lean target says", |
| "under Lemma 4, `nl_proof` says that the paper gives no proof of it" |
| ], |
| "copyright_notice": "©2024 Peng Zhao, Yu-Jie Zhang, Lijun Zhang, and Zhi-Hua Zhou.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v25-22-1253", |
| "used_by": [ |
| "forward_construction" |
| ], |
| "title": "Bridging Distributional and Risk-sensitive Reinforcement Learning with Provable Regret Bounds", |
| "authors": "Hao Liang, Zhi-Quan Luo", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "25", |
| "issue": "221", |
| "pages": "1-56", |
| "year": "2024", |
| "url": "https://jmlr.org/papers/v25/22-1253.html", |
| "pdf_url": "https://jmlr.org/papers/volume25/22-1253/22-1253.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU) — the target statements (`targets`), their proofs (`nl_proof`) and the setup, definitions and results they use (`context`); running headers and footers, including the copyright and licence lines, were dropped", |
| "the OCR's LaTeX spacing was tightened, and OCR damage was repaired by comparison with the published PDF, while misprints in the published text are kept", |
| "a statement may carry a minimal edit so that it says what the Lean target says" |
| ], |
| "copyright_notice": "©2024 Hao Liang and Zhi-Quan Luo.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| }, |
| { |
| "key": "v25-23-0422", |
| "used_by": [ |
| "forward_construction" |
| ], |
| "title": "Generalization and Stability of Interpolating Neural Networks with Minimal Width", |
| "authors": "Hossein Taheri, Christos Thrampoulidis", |
| "journal": "Journal of Machine Learning Research", |
| "volume": "25", |
| "issue": "156", |
| "pages": "1-41", |
| "year": "2024", |
| "url": "https://jmlr.org/papers/v25/23-0422.html", |
| "pdf_url": "https://jmlr.org/papers/volume25/23-0422/23-0422.pdf", |
| "modifications": [ |
| "excerpt only: selected line spans of text converted from the published PDF by an OCR pipeline (MinerU) — the target statements (`targets`), their proofs (`nl_proof`) and the setup, definitions and results they use (`context`); running headers and footers, including the copyright and licence lines, were dropped", |
| "the OCR's LaTeX spacing was tightened, and OCR damage was repaired by comparison with the published PDF, while misprints in the published text are kept", |
| "a statement may carry a minimal edit so that it says what the Lean target says" |
| ], |
| "copyright_notice": "©2024 Hossein Taheri and Christos Thrampoulidis.", |
| "license": "CC-BY-4.0", |
| "license_evidence": "CC-BY 4.0 line printed in the page-1 footer of the published PDF" |
| } |
| ], |
| "iclr": [ |
| { |
| "key": "HyWG0H5ge", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2017", |
| "url": "https://openreview.net/forum?id=HyWG0H5ge", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| }, |
| { |
| "key": "HJNMYceCW", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2018", |
| "url": "https://openreview.net/forum?id=HJNMYceCW", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| }, |
| { |
| "key": "SJTB5GZCb", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2018", |
| "url": "https://openreview.net/forum?id=SJTB5GZCb", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| }, |
| { |
| "key": "SySpa-Z0Z", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2018", |
| "url": "https://openreview.net/forum?id=SySpa-Z0Z", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| }, |
| { |
| "key": "rJma2bZCW", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2018", |
| "url": "https://openreview.net/forum?id=rJma2bZCW", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| }, |
| { |
| "key": "H1xaJn05FQ", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2019", |
| "url": "https://openreview.net/forum?id=H1xaJn05FQ", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| }, |
| { |
| "key": "H1lNb0NtPH", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2020", |
| "url": "https://openreview.net/forum?id=H1lNb0NtPH", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| }, |
| { |
| "key": "HygegyrYwH", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2020", |
| "url": "https://openreview.net/forum?id=HygegyrYwH", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| }, |
| { |
| "key": "SkxpDT4YvS", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2020", |
| "url": "https://openreview.net/forum?id=SkxpDT4YvS", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| }, |
| { |
| "key": "rJlhYa4FPB", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2020", |
| "url": "https://openreview.net/forum?id=rJlhYa4FPB", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| }, |
| { |
| "key": "FUdBF49WRV1", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2021", |
| "url": "https://openreview.net/forum?id=FUdBF49WRV1", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| }, |
| { |
| "key": "KTS3QeWxRQq", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2021", |
| "url": "https://openreview.net/forum?id=KTS3QeWxRQq", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| }, |
| { |
| "key": "gV3wdEOGy_V", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2021", |
| "url": "https://openreview.net/forum?id=gV3wdEOGy_V", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| }, |
| { |
| "key": "nEMiSX_ipXr", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2021", |
| "url": "https://openreview.net/forum?id=nEMiSX_ipXr", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| }, |
| { |
| "key": "zWy1uxjDdZJ", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2021", |
| "url": "https://openreview.net/forum?id=zWy1uxjDdZJ", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| }, |
| { |
| "key": "HOjLHrlZhmx", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2022", |
| "url": "https://openreview.net/forum?id=HOjLHrlZhmx", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| }, |
| { |
| "key": "J7FaSJw-xCM", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2022", |
| "url": "https://openreview.net/forum?id=J7FaSJw-xCM", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| }, |
| { |
| "key": "uHv20yi8saL", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2022", |
| "url": "https://openreview.net/forum?id=uHv20yi8saL", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| }, |
| { |
| "key": "0f-0I6RFAch", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2023", |
| "url": "https://openreview.net/forum?id=0f-0I6RFAch", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| }, |
| { |
| "key": "EnrY5TOrbQ", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2023", |
| "url": "https://openreview.net/forum?id=EnrY5TOrbQ", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| }, |
| { |
| "key": "NIzeVwedJzB", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2023", |
| "url": "https://openreview.net/forum?id=NIzeVwedJzB", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| }, |
| { |
| "key": "Q4B6g_ubd39", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2023", |
| "url": "https://openreview.net/forum?id=Q4B6g_ubd39", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| }, |
| { |
| "key": "Xo2E217_M4n", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2023", |
| "url": "https://openreview.net/forum?id=Xo2E217_M4n", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| }, |
| { |
| "key": "ceOdspvoaEA", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2023", |
| "url": "https://openreview.net/forum?id=ceOdspvoaEA", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| }, |
| { |
| "key": "BgZzJISvpY", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2024", |
| "url": "https://openreview.net/forum?id=BgZzJISvpY", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| }, |
| { |
| "key": "J7hbPeOZ39", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2024", |
| "url": "https://openreview.net/forum?id=J7hbPeOZ39", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| }, |
| { |
| "key": "K98byXpOpU", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2024", |
| "url": "https://openreview.net/forum?id=K98byXpOpU", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| }, |
| { |
| "key": "KSvRZFCy7s", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2024", |
| "url": "https://openreview.net/forum?id=KSvRZFCy7s", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| }, |
| { |
| "key": "hac6DzbMa7", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2024", |
| "url": "https://openreview.net/forum?id=hac6DzbMa7", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| }, |
| { |
| "key": "lkIRFglmTp", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2024", |
| "url": "https://openreview.net/forum?id=lkIRFglmTp", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| }, |
| { |
| "key": "nJnky5K944", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2024", |
| "url": "https://openreview.net/forum?id=nJnky5K944", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| }, |
| { |
| "key": "pJBSzGmb9a", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2024", |
| "url": "https://openreview.net/forum?id=pJBSzGmb9a", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| }, |
| { |
| "key": "wqi85OBVLE", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2024", |
| "url": "https://openreview.net/forum?id=wqi85OBVLE", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| }, |
| { |
| "key": "5ZkuWAbxzT", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2025", |
| "url": "https://openreview.net/forum?id=5ZkuWAbxzT", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| }, |
| { |
| "key": "8rvqpiTTFv", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2025", |
| "url": "https://openreview.net/forum?id=8rvqpiTTFv", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| }, |
| { |
| "key": "VSKV3GykuE", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2025", |
| "url": "https://openreview.net/forum?id=VSKV3GykuE", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| }, |
| { |
| "key": "XYK1eGjahp", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2025", |
| "url": "https://openreview.net/forum?id=XYK1eGjahp", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| }, |
| { |
| "key": "XcAJ0qsMgh", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2025", |
| "url": "https://openreview.net/forum?id=XcAJ0qsMgh", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| }, |
| { |
| "key": "lydPkW4lfz", |
| "used_by": [ |
| "fl_verification" |
| ], |
| "venue": "ICLR 2025", |
| "url": "https://openreview.net/forum?id=lydPkW4lfz", |
| "license": "CC-BY-4.0", |
| "modifications": [ |
| "excerpt only: selected passages of the paper's setting, results and proofs, each proof split into numbered steps", |
| "the paper's own equation and result numbers replaced by item-local numbers", |
| "OCR damage repaired by comparison with the published PDF", |
| "the defect the item contains is the paper's own, as published" |
| ] |
| } |
| ], |
| "lecture_sources": [ |
| { |
| "key": "zhang-lt-book", |
| "title": "Mathematical Analysis of Machine Learning Algorithms", |
| "authors": "Tong Zhang", |
| "url": "https://tongzhang-ml.org/lt-book/lt-book.pdf", |
| "used_by": [ |
| "forward_construction", |
| "fl_verification" |
| ], |
| "license": "publicly available or used with permission", |
| "modifications": [ |
| "forward_construction: selected statements, proofs and context, each statement with a Lean formalisation and proof we wrote", |
| "fl_verification: excerpts split into numbered proof steps; 21 items across the four sources carry a defect we injected, marked by the gold fields" |
| ] |
| }, |
| { |
| "key": "cs229m", |
| "title": "Lecture Notes for Machine Learning Theory (Stanford CS229M)", |
| "authors": "Tengyu Ma", |
| "url": "https://github.com/tengyuma/cs229m_notes", |
| "used_by": [ |
| "forward_construction", |
| "fl_verification" |
| ], |
| "license": "publicly available or used with permission", |
| "modifications": [ |
| "forward_construction: selected statements, proofs and context, each statement with a Lean formalisation and proof we wrote", |
| "fl_verification: excerpts split into numbered proof steps; 21 items across the four sources carry a defect we injected, marked by the gold fields" |
| ] |
| }, |
| { |
| "key": "ee227c", |
| "title": "Convex Optimization and Approximation (UC Berkeley EE227C)", |
| "authors": "Moritz Hardt", |
| "url": "https://ee227c.github.io/notes/ee227c-notes.pdf", |
| "used_by": [ |
| "forward_construction", |
| "fl_verification" |
| ], |
| "license": "publicly available or used with permission", |
| "modifications": [ |
| "forward_construction: selected statements, proofs and context, each statement with a Lean formalisation and proof we wrote", |
| "fl_verification: excerpts split into numbered proof steps; 21 items across the four sources carry a defect we injected, marked by the gold fields" |
| ] |
| }, |
| { |
| "key": "mit-18.465", |
| "title": "Statistical Learning Theory (MIT 18.465), MIT OpenCourseWare", |
| "authors": "Dmitry Panchenko", |
| "url": "https://ocw.mit.edu/courses/18-465-topics-in-statistics-statistical-learning-theory-spring-2007/", |
| "used_by": [ |
| "forward_construction", |
| "fl_verification" |
| ], |
| "license": "publicly available or used with permission", |
| "modifications": [ |
| "forward_construction: selected statements, proofs and context, each statement with a Lean formalisation and proof we wrote", |
| "fl_verification: excerpts split into numbered proof steps; 21 items across the four sources carry a defect we injected, marked by the gold fields" |
| ] |
| } |
| ] |
| } |
|
|
