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Shuguang Yu

2 accepted papers

2025

Enhancing Prediction Performance through Influence Measure

ICLR 2025poster

In the field of machine learning, the pursuit of accurate models is ongoing. A key aspect of improving prediction performance lies in identifying which data points in the training set should be excluded and which high-quality, potentially unlabeled data points outside the training set should be inco…

Cited by 0SourcePDFScholar
2024

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning

NeurIPS 2024poster

This paper studies off-policy evaluation (OPE) in the presence of unmeasured confounders. Inspired by the two-way fixed effects regression model widely used in the panel data literature, we propose a two-way unmeasured confounding assumption to model the system dynamics in causal reinforcement learn…