Bei Jiang

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All published works

Action	Title	Year	Authors
+ PDF Chat	Fast Online $L_0$ Elastic Net Subspace Clustering via A Novel Dictionary Update Strategy	2024	Wentao Qu Lingchen Kong Linglong Kong Bei Jiang
+ PDF Chat	The Sufficiency of Off-Policyness and Soft Clipping: PPO Is Still Insufficient according to an Off-Policy Measure	2023	Xing Chen Dongcui Diao Hechang Chen Hengshuai Yao Haiyin Piao Zhixiao Sun Zhiwei Yang Randy Goebel Bei Jiang Yi Chang
+	Scalable inference in functional linear regression with streaming data	2023	Jinhan Xie Enze Shi Peijun Sang Zuofeng Shang Bei Jiang Linglong Kong
+	Gaussian Differential Privacy on Riemannian Manifolds	2023	Yangdi Jiang Xiaotian Chang Yi Liu Lei Ding Linglong Kong Bei Jiang
+ PDF Chat	Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability	2022	Yafei Wang Bo Pan Wei Tu Peng Liu Bei Jiang Chao Gao Wei Lu Shangling Jui Linglong Kong
+	Distributional Reinforcement Learning via Sinkhorn Iterations	2022	Ke Sun Yingnan Zhao Yi Liu Bei Jiang Linglong Kong
+	The Sufficiency of Off-Policyness and Soft Clipping: PPO is still Insufficient according to an Off-Policy Measure	2022	Xing Chen Dongcui Diao Hechang Chen Hengshuai Yao Jielong Yang Haiyin Piao Zhixiao Sun Bei Jiang Yi Chang
+	How Does Value Distribution in Distributional Reinforcement Learning Help Optimization?	2022	Ke Sun Bei Jiang Linglong Kong
+	Conformalized Fairness via Quantile Regression	2022	Meichen Liu Lei Ding Dengdeng Yu Wulong Liu Linglong Kong Bei Jiang
+	Class Interference of Deep Neural Networks	2022	Dongcui Diao Hengshuai Yao Bei Jiang
+	Identification, Amplification and Measurement: A bridge to Gaussian Differential Privacy	2022	Yi Liu Ke Sun Linglong Kong Bei Jiang
+ PDF Chat	Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability	2021	Yafei Wang Bo Pan Wei Tu Peng Liu Bei Jiang Chao Gao Wei Lu Shangling Jui Linglong Kong
+ PDF Chat	Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving	2021	Lei Ding Dengdeng Yu Jinhan Xie Wenxing Guo Shenggang Hu Meichen Liu Linglong Kong Hongsheng Dai Yanchun Bao Bei Jiang
+	Interpreting Distributional Reinforcement Learning: A Regularization Perspective	2021	Ke Sun Yingnan Zhao Yi Liu Enze Shi Yafei Wang Xiaodong Yan Bei Jiang Linglong Kong
+	Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving	2021	Lei Ding Dengdeng Yu Jinhan Xie Wenxing Guo Shenggang Hu Meichen Liu Linglong Kong Hongsheng Dai Yanchun Bao Bei Jiang
+	Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability	2021	Yafei Wang Bo Pan Wei Tu Peng Liu Bei Jiang Chao Gao Wei Lu Shangling Jui Linglong Kong

Common Coauthors

Coauthor	Papers Together
Linglong Kong	13
Yafei Wang	4
Lei Ding	3
Jinhan Xie	3
Dengdeng Yu	3
Wei Lu	3
Shangling Jui	3
Dongcui Diao	3
Chao Gao	3
Ke Sun	3
Hengshuai Yao	3
Wei Tu	3
Yi Chang	2
Hongsheng Dai	2
Haiyin Piao	2
Peng Liu	2
Xing Chen	2
Yingnan Zhao	2
Wenxing Guo	2
Meichen Liu	2
Zhixiao Sun	2
Bo Pan	2
Shenggang Hu	2
Yanchun Bao	2
Hechang Chen	2
Lei Ding	1
Jielong Yang	1
Wulong Liu	1
Ke Sun	1
Xiaodong Yan	1
Enze Shi	1
Enze Shi	1
Yangdi Jiang	1
Peijun Sang	1
Zuofeng Shang	1
Lingchen Kong	1
Yi Liu	1
Randy Goebel	1
Yi Liu	1
Yi Liu	1
Peng Liu	1
Meichen Liu	1
Wentao Qu	1
Yi Liu	1
Bo Pan	1
Zhiwei Yang	1
Xiaotian Chang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	A contextual-bandit approach to personalized news article recommendation	2010	Lihong Li Wei Chu John Langford Robert E. Schapire	1
+ PDF Chat	Preconditioned temporal difference learning	2008	Hengshuai Yao Zhiqiang Liu	1
+	FOR LEAST-SQUARES POLICY ITERATION	2016	Devin Schwab	1
+	Parameter Space Noise for Exploration	2017	Matthias Plappert Rein Houthooft Prafulla Dhariwal Szymon Sidor Richard Y. Chen Xi Chen Tamim Asfour Pieter Abbeel Marcin Andrychowicz	1
+	Proximal Policy Optimization Algorithms	2017	John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov	1
+	Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation	2017	Yuhuai Wu Elman Mansimov S. Matthew Liao Roger Grosse Jimmy Ba	1
+ PDF Chat	Rainbow: Combining Improvements in Deep Reinforcement Learning	2018	Matteo Hessel Joseph Modayil Hado van Hasselt Tom Schaul Georg Ostrovski Will Dabney Dan Horgan Bilal Piot Mohammad Gheshlaghi Azar David Silver	1
+ PDF Chat	Distributional Reinforcement Learning With Quantile Regression	2018	Will Dabney Mark Rowland Marc G. Bellemare Rémi Munos	1
+	Addressing Function Approximation Error in Actor-Critic Methods	2018	Scott Fujimoto Herke van Hoof David Meger	1
+ PDF Chat	Qualitative Measurements of Policy Discrepancy for Return-Based Deep Q-Network	2019	Wenjia Meng Zheng Qian Yang Long Pengfei Li Gang Pan	1
+	Soft Actor-Critic Algorithms and Applications	2018	Tuomas Haarnoja Aurick Zhou Kristian Hartikainen George Tucker Sehoon Ha Jie Tan Vikash Kumar Henry Zhu Abhishek Gupta Pieter Abbeel	1
+	Trust Region-Guided Proximal Policy Optimization	2019	Yuhui Wang Hao He Xiaoyang Tan Yaozhong Gan	1
+	Truly Proximal Policy Optimization	2019	Yuhui Wang Hao He Chao Wen Xiaoyang Tan	1
+	Deep Learning of Preconditioners for Conjugate Gradient Solvers in Urban Water Related Problems	2019	Johannes Sappl Laurent Seiler Matthias Harders Wolfgang Rauch	1
+	Modelling transition dynamics in MDPs with RKHS embeddings	2012	Steffen Grünewälder Guy Lever Luca Baldassarre Massi Pontil Arthur Gretton	1
+	Reinforcement Learning with Unsupervised Auxiliary Tasks	2016	Max Jaderberg Volodymyr Mnih Wojciech Marian Czarnecki Tom Schaul Joel Z. Leibo David Silver Koray Kavukcuoglu	1
+ PDF Chat	Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems	2012	Sébastien Bubeck	1
+ PDF Chat	Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks	2016	Chunyuan Li Changyou Chen David Carlson Lawrence Carin	1
+	Distributional Reinforcement Learning for Efficient Exploration	2019	Borislav Mavrin Shangtong Zhang Hengshuai Yao Linglong Kong Kaiwen Wu Yaoliang Yu	1
+ PDF Chat	Q($$\lambda $$) with Off-Policy Corrections	2016	Anna Harutyunyan Marc G. Bellemare Tom Stepleton Rémi Munos	1
+	Sample Efficient Actor-Critic with Experience Replay	2016	Ziyu Wang Victor Bapst Nicolas Heess Volodymyr Mnih Rémi Munos Koray Kavukcuoglu Nando de Freitas	1
+ PDF Chat	QUOTA: The Quantile Option Architecture for Reinforcement Learning	2019	Shangtong Zhang Hengshuai Yao	1
+	Safe and Efficient Off-Policy Reinforcement Learning	2016	Rémi Munos Tom Stepleton Anna Harutyunyan Marc G. Bellemare	1
+	Continuous control with deep reinforcement learning	2016	Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel Nicolas Heess Tom Erez Yuval Tassa David Silver Daan Wierstra	1
+	Asynchronous Methods for Deep Reinforcement Learning	2016	Volodymyr Mnih Adrià Puigdomènech Badia Mehdi Mirza Alex Graves Tim Harley Timothy Lillicrap David Silver Koray Kavukcuoglu	1
+	Better Exploration with Optimistic Actor-Critic	2019	Kamil Ciosek Quan Vuong Robert Loftin Katja Hofmann	1
+ PDF Chat	Mastering Complex Control in MOBA Games with Deep Reinforcement Learning	2020	Deheng Ye Zhao Liu Mingfei Sun Bei Shi Peilin Zhao Hao Wu Hongsheng Yu Shaojie Yang Xipeng Wu Qingwei Guo	1
+ PDF Chat	Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy	2020	Ramtin Keramati Christoph Dann Alex Tamkin Emma Brunskill	1
+	Mirror Descent Policy Optimization	2020	Manan Tomar Lior Shani Yonathan Efroni Mohammad Ghavamzadeh	1
+ PDF Chat	The Arcade Learning Environment: An Evaluation Platform for General Agents	2013	Marc G. Bellemare Yavar Naddaf Joel Veness Michael Bowling	1
+	Non-decreasing Quantile Function Network with Efficient Exploration for Distributional Reinforcement Learning	2021	Fan Zhou Zhoufan Zhu Qi Kuang Liwen Zhang	1
+	You May Not Need Ratio Clipping in PPO	2022	Mingfei Sun Vitaly Kurin Guoqing Liu Sam Devlin Tao Qin Katja Hofmann Shimon Whiteson	1
+	P3O: Policy-on Policy-off Policy Optimization	2019	Rasool Fakoor Pratik Chaudhari Alexander J. Smola	1
+	A Distributional Perspective on Reinforcement Learning	2017	Marc G. Bellemare Will Dabney Rémi Munos	1
+	OpenAI Gym	2016	Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba	1