most citedAnother Look at Bandwidth-free Inference: a Sample Splitting Approach

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stat.ML2026

Self-Normalized Inference for Constant-Stepsize Temporal-Difference Learning under Markovian Sampling

Min Zeng, Yichen Zhang, Xiaofeng Shao

Constant-stepsize temporal-difference (TD) learning is attractive for policy evaluation, but inference from a single Markov trajectory must account for serial dependence and a step…

stat.ML2025

Testing Conditional Mean Independence Using Generative Neural Networks

Yi Zhang, Linjun Huang, Yun Yang +1

Conditional mean independence (CMI) testing is crucial for statistical tasks including model determination and variable importance evaluation. In this work, we introduce a novel po…