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AdamO: A Collapse-Suppressed Optimizer for Offline RL
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Nate Mauer PRO
ParetoOptimal
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Algorithmic Recourse of In-Context Learning for Tabular Data
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A Risk Decomposition Framework for Pre-hoc Fine-tuning Prediction
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What Makes a Strong Model? A Unified Spectral Analysis of Knowledge Transfer over High-dimensional Linear Regression
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A Game-Theoretic Analysis of Attacks on Large Language Models via Compositional Skills
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Corruption-Tolerant Asynchronous Q-Learning with Near-Optimal Rates
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Posterior Sampling Reinforcement Learning with Gaussian Processes for Continuous Control: Sublinear Regret Bounds for Unbounded State Spaces
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FairRARI: A Plug and Play Framework for Fairness-Aware PageRank
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A Tight Theory of Error Feedback Algorithms in Distributed Optimization
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A Direct Second-Order Method for Solving Two-Player Zero-Sum Games
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A Theoretical Framework for Statistical Evaluability of Generative Models
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Tight Stability Bounds for Robust Distributed Learning: Byzantine Failures Hurt Generalization More than Data Poisoning
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Softmax as Linear Attention in the Large-Prompt Regime: a Measure-based Perspective
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Theoretical Challenges in Learning for Branch-and-Cut
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Row-Stochastic Matrices Can Provably Outperform Doubly Stochastic Matrices in Decentralized Learning
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Solving Imperfect-Recall Games via Sum-of-Squares Optimization
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Can Adaptive Gradient Methods Converge under Heavy-Tailed Noise? A Case Study of AdaGrad
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Learning in Structured Stackelberg Games
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Rotary Position Encodings for Graphs
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Approximate Proportionality in Online Fair Division
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Lower Bounds for Frank-Wolfe on Strongly Convex Sets
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Reproducing LLapDiffusion (ICML 2026)
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Repro - Characterizing, Evaluating, and Optimizing Complex Reasoning
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Trm Repro
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