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Haichen Hu

2 accepted papers

2025

Contextual Online Decision Making with Infinite-Dimensional Functional Regression

ICML 2025poster

Contextual sequential decision-making is fundamental to machine learning, with applications in bandits, sequential hypothesis testing, and online risk control. These tasks often rely on statistical measures like expectation, variance, and quantiles. In this paper, we propose a universal algorithmic…

Cited by 1SourcePDFScholar
2024

Offline Oracle-Efficient Learning for Contextual MDPs via Layerwise Exploration-Exploitation Tradeoff

NeurIPS 2024poster

Motivated by the recent discovery of a statistical and computational reduction from contextual bandits to offline regression \citep{simchi2020bypassing}, we address the general (stochastic) Contextual Markov Decision Process (CMDP) problem with horizon $H$ (as known as CMDP with $H$ layers). In this…

Cited by 1SourcePDFScholar