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Reproduction: Provably Data-driven Multiple Hyper-parameter Tuning with Structured Loss Function
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Srishti Saha
Srishti280992
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upvoted an article about 1 month ago
What We Learned by Reproducing 2,200 papers from ICML updated a Space about 2 months ago
Srishti280992/repro-deep-networks-learn-to-parse-uniform-depth-context-free-languages-from-local-statisticsOrganizations
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Reproduction: SENDAI: A Hierarchical Sparse-measurement, EfficieNt Data AssImilation Framework
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Reproduction: Stable Deep Reinforcement Learning via Isotropic Gaussian Representations
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Reproduction: Networked Information Aggregation for Binary Classification
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Reproduction: Skewness-Robust Causal Discovery in Location-Scale Noise Models
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Reproduction: Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis
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Reproduction: Budget-Feasible Mechanisms for Submodular Welfare Maximization in Procurement Auctions
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Reproduction: A Geometric Analysis of Small-sized Language Model Hallucinations
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Reproduction: Evaluating Bivariate Causal Statements Based on Mutual Compatibility
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Reproduction: Colorful Pinball: Density-Weighted Quantile Regression for Conditional Guarantee of Conformal Prediction
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Reproduction: A Stronger Benchmark for Online Bilateral Trade: From Fixed Prices to Distributions
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Reproduction: The Implicit Bias of Adam and Muon on Smooth Homogeneous Neural Networks
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Reproduction: Rotation-Invariant Spherical Watermarking via Third-Order SO(3) Representation Coupling
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Reproduction: Optimal Design for Multinomial Logit Model with Applications to Best Assortment Identification
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Reproduction: Linear Bandits beyond Inner Product Spaces, the case of Bandit Optimal Transport
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Reproduction: Efficiently Learning Drifting Halfspaces with Massart Noise
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Reproduction: Unifying Low Dimensional Spectra in Deep Learning
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Reproduction: Neural Quantum States in Mixed Precision
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Reproduction: MASH: Modeling Abstention via Selective Help-Seeking
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Reproduction: Refined Analysis of Entropy-Regularized Actor-Critic
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Reproduction: Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis
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Reproduction: Model Monotonicity in Autobidding Auctions: When Do Better Predictions Lead to Better Outcomes?
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Reproduction: Optimal Unconstrained Self-Distillation in Ridge Regression: Strict Improvements, Precise Asymptotics, and One-Shot Tuning
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Reproduction: Multi-task Linear Regression without Eigenvalue Lower Bounds: Adaptivity, Robustness, and Safety
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