ArXiv TLDR

Chao Wang

3 papers · Latest:

Machine Learning

Relative Entropy Estimation in Function Space: Theory and Applications to Trajectory Inference

This paper introduces a novel framework for estimating Kullback-Leibler divergence in function space, improving trajectory inference evaluation.

2604.20775
Statistical Machine Learning

Distributional Off-Policy Evaluation with Deep Quantile Process Regression

This paper introduces DQPOPE, a deep quantile process regression method for distributional off-policy evaluation, estimating the full return distribution.

2604.18143
Artificial Intelligence

Learning to Reason with Insight for Informal Theorem Proving

A new framework and dataset enable LLMs to perform insightful informal theorem proving by learning to recognize core techniques.

2604.16278

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