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Yingjie Fei
Yingjie Fei
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Title
Cited by
Cited by
Year
Risk-sensitive reinforcement learning: Near-optimal risk-sample tradeoff in regret
Y Fei, Z Yang, Y Chen, Z Wang, Q Xie
Advances in Neural Information Processing Systems 33, 22384-22395, 2020
532020
Dynamic regret of policy optimization in non-stationary environments
Y Fei, Z Yang, Z Wang, Q Xie
Advances in Neural Information Processing Systems 33, 6743-6754, 2020
462020
Exponential bellman equation and improved regret bounds for risk-sensitive reinforcement learning
Y Fei, Z Yang, Y Chen, Z Wang
Advances in neural information processing systems 34, 20436-20446, 2021
442021
Hidden integrality of SDP relaxations for sub-Gaussian mixture models
Y Fei, Y Chen
Conference On Learning Theory, 1931-1965, 2018
442018
Exponential Error Rates of SDP for Block Models: Beyond Grothendieck’s Inequality
Y Fei, Y Chen
IEEE Transactions on Information Theory 65 (1), 551-571, 2018
442018
Risk-sensitive reinforcement learning with function approximation: A debiasing approach
Y Fei, Z Yang, Z Wang
International Conference on Machine Learning, 3198-3207, 2021
322021
Achieving the Bayes error rate in synchronization and block models by SDP, robustly
Y Fei, Y Chen
IEEE Transactions on Information Theory 66 (6), 3929-3953, 2020
272020
Spectral Frank-Wolfe algorithm: Strict complementarity and linear convergence
L Ding, Y Fei, Q Xu, C Yang
International conference on machine learning, 2535-2544, 2020
162020
Achieving the bayes error rate in stochastic block model by sdp, robustly
Y Fei, Y Chen
Conference on Learning Theory, 1235-1269, 2019
162019
Cascaded gaps: Towards logarithmic regret for risk-sensitive reinforcement learning
Y Fei, R Xu
International Conference on Machine Learning, 6392-6417, 2022
102022
Cascaded gaps: Towards gap-dependent regret for risk-sensitive reinforcement learning
Y Fei, R Xu
arXiv preprint arXiv:2203.03110, 2022
42022
Hidden Integrality and Semirandom Robustness of SDP Relaxation for Sub-Gaussian Mixture Model
Y Fei, Y Chen
Mathematics of Operations Research 47 (3), 2464-2493, 2022
22022
Entropic Risk-Sensitive Reinforcement Learning: A Meta Regret Framework with Function Approximation
Y Fei, Z Yang, Z Wang
2020
Discovering Discrete Structures using SDP Relaxation: Hidden Integrality, Statistical Optimality and Semirandom Robustness
Y Fei
2020
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