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Bei Jiang

Associate Professor, University of Alberta

2 papers at NeurIPS 2025

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Poster Session 3

1 paper
Thursday, December 4, 2025 · 11:00 AM → 2:00 PM
Exhibit Hall C,D,E
Intrinsic Benefits of Categorical Distributional Loss: Uncertainty-aware Regularized Exploration in Reinforcement Learning
#401 · Ke Sun, Yingnan Zhao, Enze Shi, Yafei Wang, Xiaodong Yan, Bei Jiang, Linglong Kong

Poster Session 6

1 paper
Friday, December 5, 2025 · 4:30 PM → 7:30 PM
Exhibit Hall C,D,E
Understanding Fairness and Prediction Error through Subspace Decomposition and Influence Analysis
#1104 · Enze Shi, Pankaj Bhagwat, Zhixian Yang, Linglong Kong, Bei Jiang

We balance fairness and predictive accuracy by decomposing feature representations and analyzing their impact using influence functions.