Fei, Yingjie

8 publications

ICML 2022 Cascaded Gaps: Towards Logarithmic Regret for Risk-Sensitive Reinforcement Learning Yingjie Fei, Ruitu Xu

NeurIPS 2021 Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning Yingjie Fei, Zhuoran Yang, Yudong Chen, Zhaoran Wang

ICML 2021 Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach Yingjie Fei, Zhuoran Yang, Zhaoran Wang

NeurIPS 2020 Dynamic Regret of Policy Optimization in Non-Stationary Environments Yingjie Fei, Zhuoran Yang, Zhaoran Wang, Qiaomin Xie

NeurIPS 2020 Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret Yingjie Fei, Zhuoran Yang, Yudong Chen, Zhaoran Wang, Qiaomin Xie

ICML 2020 Spectral Frank-Wolfe Algorithm: Strict Complementarity and Linear Convergence Lijun Ding, Yingjie Fei, Qiantong Xu, Chengrun Yang

COLT 2019 Achieving the Bayes Error Rate in Stochastic Block Model by SDP, Robustly Yingjie Fei, Yudong Chen

COLT 2018 Hidden Integrality of SDP Relaxations for Sub-Gaussian Mixture Models Yingjie Fei, Yudong Chen