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Repro - Convergence Rate of the Last Iterate of Stochastic Proximal Algorithms
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Ryan Wiley PRO
rdubwiley
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updated a Space 10 days ago
rdubwiley/repro-understanding-catastrophic-forgetting-in-lora-via-mean-field-attention-dynamics published a Space 10 days ago
rdubwiley/repro-understanding-catastrophic-forgetting-in-lora-via-mean-field-attention-dynamics published a bucket 10 days ago
rdubwiley/repro-understanding-catastrophic-forgetting-in-lora-via-mean-field-attention-dynamics-artifactsOrganizations
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Repro - Fair Decisions from Calibrated Scores: Achieving Optimal Classification While Satisfying Sufficiency
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Repro - Prediction-Powered Risk Monitoring of Deployed Models for Detecting Harmful Distribution Shifts
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Monitor deployed models and detect harmful distribution shifts
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Repro - Feature Resemblance: Towards a Theoretical Understanding of Analogical Reasoning in Transformers
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Repro - A Tight Theory of Error Feedback Algorithms in Distributed Optimization
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Repro - Adversarially Robust Control of Conditional Value-at-Risk via Rockafellar-Uryasev Conformal Inference
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Repro - Differentiable Optimization Layers for Guaranteed Fairness in Deep Learning
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Repro - Depth over Fidelity in Fixed-Budget Noisy Evolution Strategies
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Repro - Provably Data-driven Multiple Hyper-parameter Tuning with Structured Loss Function
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Repro - Muon in Associative Memory Learning: Training Dynamics and Scaling Laws
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Repro - Rank-Learner: Orthogonal Ranking of Treatment Effects
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Repro - On the Sharp Input-Output Analysis of Nonlinear Systems under Adversarial Attacks
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Repro - A Two-Layer Framework for Joint Online Configuration Selection and Admission Control
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Repro - MIRA: A Score for Conditional Distribution Accuracy and Model Comparison
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Repro - Operator Splitting with Hamilton-Jacobi-based Proximals
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Mira Repro Bundle
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Repro - On Densest $k$-Subgraph Mining and Diagonal Loading: Optimization Landscape and Finite-Step Exact Convergence Analysis
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Repro - Welfare-Optimal Classification with Accuracy Auctions
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Repro - Optimal Anytime Algorithms for Online Convex Optimization with Adversarial Constraints
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Repro - Minimum Distance Summaries for Robust Neural Posterior Estimation
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Repro - Optimal and Scalable MAPF via Multi-Marginal Optimal Transport and Schrödinger Bridges
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Repro - Randomized Feasibility Methods for Constrained Optimization with Adaptive Step Sizes
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Repro - Improved Analysis of the Accelerated Noisy Power Method with Applications to Decentralized PCA
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Repro - Curated Synthetic Data Doesn’t Have to Collapse: A Theoretical Study of Generative Retraining with Pluralistic Preferences
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