Asymptotic Analysis of Empirical Risk Minimization on Entry-wise i.i.d. Heavy-Tailed Data
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Independent Multi-Agent Reinforcement Learning with Counterfactual Semantic-Social World Models
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Learning Explainable Representations of Complex Game-playing Strategies
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Towards the Automatic Synthesis of Interpretable Chess Tactics
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Uniform Discrete Diffusion Models are Minimax Optimal for Estimating Distributions with Small Effective Support Size
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Exact Calibration and Sharp Risk Geometry for Volume-Sampled Ridge Regression
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CACHEFORGE: LLM-Guided End-to-End Generative Cache Replacement Policy for Performance and Hardware Efficiency
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Mathematical Invariant-Enabled Topological Neural Networks for Molecular and Materials Property Prediction
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Stability of Measure-to-Measure Transformers on Sub-Gaussian Data
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The Model Plants the Trigger: Answer-Side Backdoor Attacks in Multi-Turn Large Language Models
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Common-Mode Errors Limit Low-Timestep Deep Spiking Q-Networks
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Nash Social Welfare for Multi Armed Bandits: Trajectory-wise Expected and High Probability Regret
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