Yirui Zhou

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All published works

Action	Title	Year	Authors
+ PDF Chat	On Generalization and Distributional Update for Mimicking Observations with Adequate Exploration	2025	Yirui Zhou Xiaowei Liu Xiaofeng Zhang Yangchun Zhang
+ PDF Chat	Rethinking Adversarial Inverse Reinforcement Learning: From the Angles of Policy Imitation and Transferable Reward Recovery	2024	Yangchun Zhang Wang Zhou Yirui Zhou
+ PDF Chat	Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective	2024	Wanying Wang Yichen Zhu Yirui Zhou Chaomin Shen Jian Tang Zhiyuan Xu Yaxin Peng Yangchun Zhang
+ PDF Chat	Rethinking Adversarial Inverse Reinforcement Learning: From the Angles of Policy Imitation and Transferable Reward Recovery	2024	Yangchun Zhang Yirui Zhou
+	Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective	2023	Wanying Wang Yichen Zhu Yirui Zhou Chaomin Shen Jian Tang Zhiyuan Xu Yaxin Peng Yangchun Zhang
+ PDF Chat	SA16 Enhancing Clinical Trial Diversity and Representation Through Data-Adaptive Targeted Learning: A Tale of Lurking Berkson Bias	2022	Y Zhang Yirui Zhou J Vanderpuye-Orgle Luã Tainã Costa Reis Andrew Wilson
+	Applications on linear spectral statistics of high-dimensional sample covariance matrix with divergent spectrum	2022	Yangchun Zhang Yirui Zhou Xiaowei Liu

Common Coauthors

Coauthor	Papers Together
Yangchun Zhang	6
Chaomin Shen	2
Yaxin Peng	2
Jian Tang	2
Zhiyuan Xu	2
Yichen Zhu	2
Wanying Wang	2
Xiaowei Liu	1
Luã Tainã Costa Reis	1
Xiaowei Liu	1
Y Zhang	1
J Vanderpuye-Orgle	1
Xiaofeng Zhang	1
Andrew Wilson	1
Wang Zhou	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	On the distribution of the largest eigenvalue in principal components analysis	2001	Iain M. Johnstone	1
+ PDF Chat	Estimation of the population spectral distribution from a large dimensional sample covariance matrix	2013	Weiming Li Jiaqi Chen Yingli Qin Zhidong Bai Jianfeng Yao	1
+ PDF Chat	CLT for linear spectral statistics of large-dimensional sample covariance matrices	2004	Zhidong Bai Jack W. Silverstein	1
+ PDF Chat	A local moment estimator of the spectrum of a large dimensional covariance matrix	2013	Weiming Li Jianfeng Yao	1
+	Substitution principle for CLT of linear spectral statistics of high-dimensional sample covariance matrices with applications to hypothesis testing	2015	Shurong Zheng Zhidong Bai Jianfeng Yao	1
+ PDF Chat	Some Tests Concerning the Covariance Matrix in High Dimensional Data	2005	Muni S. Srivastava	1
+	Improved Estimation of Eigenvalues and Eigenvectors of Covariance Matrices Using Their Sample Estimates	2008	Xavier Mestre	1
+	ESTIMATION OF SPIKED EIGENVALUES IN SPIKED MODELS	2012	Zhidong Bai Xue Ding	1
+ PDF Chat	On Estimation of the Noise Variance in High Dimensional Probabilistic Principal Component Analysis	2015	Damien Passemier Zhaoyuan Li Jianfeng Yao	1
+	Multivariate sign-based high-dimensional tests for sphericity	2013	Changliang Zou Liuhua Peng Long Feng Zhaojun Wang	1
+ PDF Chat	Asymptotic power of the sphericity test under weak and strong factors in a fixed effects panel data model	2017	Badi H. Baltagi Chihwa Kao Fa Wang	1
+	Proximal Policy Optimization Algorithms	2017	John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov	1
+	ON ESTIMATION OF THE POPULATION SPECTRAL DISTRIBUTION FROM A HIGH‐DIMENSIONAL SAMPLE COVARIANCE MATRIX	2010	Zhidong Bai Jiaqi Chen Jianfeng Yao	1
+ PDF Chat	Over-the-Air Deep Learning Based Radio Signal Classification	2018	Timothy J. O’Shea Tamoghna Roy T. Charles Clancy	1
+	Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor	2018	Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine	1
+	Addressing Function Approximation Error in Actor-Critic Methods	2018	Scott Fujimoto Herke van Hoof David Meger	1
+	A supplement on CLT for LSS under a large dimensional generalized spiked covariance model	2018	Jiaqi Chen Yangchun Zhang Weiming Li Boping Tian	1
+	Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning	2018	Ilya Kostrikov Kumar Krishna Agrawal Debidatta Dwibedi Sergey Levine Jonathan Tompson	1
+ PDF Chat	High-dimensional covariance matrices in elliptical distributions with application to spherical test	2018	Jiang Hu Weiming Li Zhi Liu Zhou Wang	1
+	Generative Adversarial Imitation Learning	2016	Jonathan Ho Stefano Ermon	1
+	Learning Robust Rewards with Adversarial Inverse Reinforcement Learning	2017	Justin Fu Katie Luo Sergey Levine	1
+ PDF Chat	Virtual-Taobao: Virtualizing Real-World Online Retail Environment for Reinforcement Learning	2019	Jing-Cheng Shi Yang Yu Qing Da Shiyong Chen Anxiang Zeng	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
+	On Exact Computation with an Infinitely Wide Neural Net	2019	Sanjeev Arora Simon S. Du Wei Hu Zhiyuan Li Ruslan Salakhutdinov Ruosong Wang	1
+	On Computation and Generalization of Generative Adversarial Imitation Learning	2020	Minshuo Chen Yizhou Wang Tianyi Liu Zhuoran Yang Xingguo Li Zhaoran Wang Tuo Zhao	1
+ PDF Chat	Some hypothesis tests for the covariance matrix when the dimension is large compared to the sample size	2002	Olivier Ledoit Michael Wolf	1
+ PDF Chat	Limiting laws for divergent spiked eigenvalues and largest nonspiked eigenvalue of sample covariance matrices	2020	Tianxi Cai Xiao Han Guangming Pan	1
+ PDF Chat	Stochastic Policy Gradient Ascent in Reproducing Kernel Hilbert Spaces	2020	Santiago Paternain Juan Andrés Bazerque Austin Small Alejandro Ribeiro	1
+	Softmax Deep Double Deterministic Policy Gradients	2020	Ling Pan Qingpeng Cai Longbo Huang	1
+ PDF Chat	Central limit theorem for signal-to-interference ratio of reduced rank linear receiver	2008	Guangming Pan Wang Zhou	1
+ PDF Chat	Estimation of the Number of Spiked Eigenvalues in a Covariance Matrix by Bulk Eigenvalue Matching Analysis	2021	Zheng Tracy Ke Yucong Ma Xihong Lin	1
+ PDF Chat	CLT for linear spectral statistics of large dimensional sample covariance matrices with dependent data	2021	Tingting Zou Shurong Zheng Zhidong Bai Jianfeng Yao Hongtu Zhu	1
+ PDF Chat	Central limit theorem for linear spectral statistics of large dimensional Kendall’s rank correlation matrices and its applications	2021	Zeng Li Qinwen Wang Runze Li	1
+ PDF Chat	Reward function shape exploration in adversarial imitation learning: an empirical study	2021	Yawei Wang Xiu Li	1
+ PDF Chat	An Introduction to Multivariate Statistical Analysis	2004		1
+	CLT for linear spectral statistics of high-dimensional sample covariance matrices in elliptical distributions	2022	Yangchun Zhang Jiang Hu Weiming Li	1
+	Socially Compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning	2017	Lei Tai Jingwei Zhang Ming Liu Wolfram Burgard	1
+	Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective	2023	Wanying Wang Yichen Zhu Yirui Zhou Chaomin Shen Jian Tang Zhiyuan Xu Yaxin Peng Yangchun Zhang	1