Zhaoran Wang - RankMe

330 papers A* 102A 12Misc 1Journal 191Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Primal-Dual Approach to Constrained Markov Decision Processes with Applications to Queue Scheduling and Inventory Management. Manag. Sci. Yi Chen, Jing Dong, Zhaoran Wang, Chuheng Zhang
2026	J	`jnl`	A Reinforcement Learning Approach in Multi-Phase Second-Price Auction Design. J. Mach. Learn. Res. Rui Ai, Boxiang Lyu, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan
2026	J	`jnl`	Farther the Shift, Sparser the Representation: Analyzing OOD Mechanisms in LLMs. CoRR Mingyu Jin, Yutong Yin, Jingcheng Niu, Qingcheng Zeng, Wujiang Xu, Mengnan Du, Wei Cheng, Zhaoran Wang, Tianlong Chen, Dimitris N. Metaxas
2026	J	`jnl`	HiPER: Hierarchical Reinforcement Learning with Explicit Credit Assignment for Large Language Model Agents. CoRR Jiangweizhi Peng, Yuanxin Liu, Ruida Zhou, Charles Fleming, Zhaoran Wang, Alfredo García, Mingyi Hong
2026	J	`jnl`	Offline Reinforcement Learning for Human-Guided Human-Machine Interaction with Private Information. Manag. Sci. Zuyue Fu, Zhengling Qi, Zhuoran Yang, Zhaoran Wang, Lan Wang
2026	J	`jnl`	Paying Less Generalization Tax: A Cross-Domain Generalization Study of RL Training for LLM Agents. CoRR Zhihan Liu, Lin Guan, Yixin Nie, Kai Zhang, Zhuoqun Hao, Lin Chen, Asli Celikyilmaz, Zhaoran Wang, Na Zhang
2026	J	`jnl`	Phys4D: Fine-Grained Physics-Consistent 4D Modeling from Video Diffusion. CoRR Haoran Lu, Shang Wu, Jianshu Zhang, Maojiang Su, Guo Ye, Chenwei Xu, Lie Lu, Pranav Maneriker, Fan Du, Manling Li, Zhaoran Wang, Han Liu
2026	J	`jnl`	Safe MPC Alignment With Human Directional Feedback. IEEE Trans. Robotics Zhixian Xie, Wenlong Zhang, Yi Ren, Zhaoran Wang, George J. Pappas, Wanxin Jin
2026	J	`jnl`	Training-Free Adaptation of Diffusion Models via Doob's CoRR Qijie Zhu, Zeqi Ye, Han Liu, Zhaoran Wang, Minshuo Chen
2025	A	`conf`	Advancing Object-Goal Navigation through LLM-enhanced Object Affinities Transfer. IROS Mengying Lin, Shugao Liu, Dingxi Zhang, Yaran Chen, Zhaoran Wang, Haoran Li, Dongbin Zhao
2025	A*	`conf`	An Instrumental Value for Data Production and its Application to Data Pricing. ICML Rui Ai, Boxiang Lyu, Zhaoran Wang, Zhuoran Yang, Haifeng Xu
2025	A*	`conf`	Are Transformers Able to Reason by Connecting Separated Knowledge in Training Data? ICLR Yutong Yin, Zhaoran Wang
2025	J	`jnl`	Are Transformers Able to Reason by Connecting Separated Knowledge in Training Data? CoRR Yutong Yin, Zhaoran Wang
2025	A*	`conf`	BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning. ICML Han Zhong, Yutong Yin, Shenao Zhang, Xiaojun Xu, Yuanxin Liu, Yifei Zuo, Zhihan Liu, Boyi Liu, Sirui Zheng, Hongyi Guo, Liwei Wang, Mingyi Hong, Zhaoran Wang
2025	J	`jnl`	BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning. CoRR Han Zhong, Yutong Yin, Shenao Zhang, Xiaojun Xu, Yuanxin Liu, Yifei Zuo, Zhihan Liu, Boyi Liu, Sirui Zheng, Hongyi Guo, Liwei Wang, Mingyi Hong, Zhaoran Wang
2025	J	`jnl`	Beyond Markovian: Reflective Exploration via Bayes-Adaptive RL for LLM Reasoning. CoRR Shenao Zhang, Yaqing Wang, Yinxiao Liu, Tianqi Liu, Peter Grabowski, Eugene Ie, Zhaoran Wang, Yunxuan Li
2025	J	`jnl`	Is Pessimism Provably Efficient for Offline Reinforcement Learning? Math. Oper. Res. Ying Jin, Zhuoran Yang, Zhaoran Wang
2025	J	`jnl`	Learning to Reason as Action Abstractions with Scalable Mid-Training RL. CoRR Shenao Zhang, Donghan Yu, Yihao Feng, Bowen Jin, Zhaoran Wang, John Peebles, Zirui Wang
2025	J	`jnl`	Local Linear Attention: An Optimal Interpolation of Linear and Softmax Attention For Test-Time Regression. CoRR Yifei Zuo, Yutong Yin, Zhichen Zeng, Ang Li, Banghua Zhu, Zhaoran Wang
2025	A*	`conf`	Reward-Augmented Data Enhances Direct Preference Alignment of LLMs. ICML Shenao Zhang, Zhihan Liu, Boyi Liu, Yufeng Zhang, Yingxiang Yang, Yongfei Liu, Liyu Chen, Tao Sun, Zhaoran Wang
2025	J	`jnl`	Self-Exploring Language Models: Active Preference Elicitation for Online Alignment. Trans. Mach. Learn. Res. Shenao Zhang, Donghan Yu, Hiteshi Sharma, Han Zhong, Zhihan Liu, Ziyi Yang, Shuohang Wang, Hany Hassan Awadalla, Zhaoran Wang
2025	A*	`conf`	The Sample Complexity of Online Strategic Decision Making with Information Asymmetry and Knowledge Transportability. ICML Jiachen Hu, Rui Ai, Han Zhong, Xiaoyu Chen, Liwei Wang, Zhaoran Wang, Zhuoran Yang
2025	J	`jnl`	The Sample Complexity of Online Strategic Decision Making with Information Asymmetry and Knowledge Transportability. CoRR Jiachen Hu, Rui Ai, Han Zhong, Xiaoyu Chen, Liwei Wang, Zhaoran Wang, Zhuoran Yang
2025	—	`conf`	Toward Optimal LLM Alignments Using Two-Player Games. EMNLP (Findings) Rui Zheng, Hongyi Guo, Zhihan Liu, Xiaoying Zhang, Yuanshun Yao, Xiaojun Xu, Zhaoran Wang, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang, Yang Liu, Hang Li
2025	A	`conf`	What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization. AISTATS Yufeng Zhang, Fengzhuo Zhang, Zhuoran Yang, Zhaoran Wang
2024	A*	`conf`	A General Framework for Sequential Decision-Making under Adaptivity Constraints. ICML Nuoya Xiong, Zhaoran Wang, Zhuoran Yang
2024	J	`jnl`	A Mean-Field Analysis of Neural Gradient Descent-Ascent: Applications to Functional Conditional Moment Equations. CoRR Yuchen Zhu, Yufeng Zhang, Zhaoran Wang, Zhuoran Yang, Xiaohong Chen
2024	A*	`conf`	Adaptive-Gradient Policy Optimization: Enhancing Policy Learning in Non-Smooth Differentiable Simulations. ICML Feng Gao, Liangzhi Shi, Shenao Zhang, Zhaoran Wang, Yi Wu
2024	J	`jnl`	Advancing Object Goal Navigation Through LLM-enhanced Object Affinities Transfer. CoRR Mengying Lin, Yaran Chen, Dongbin Zhao, Zhaoran Wang
2024	J	`jnl`	An Instrumental Value for Data Production and its Application to Data Pricing. CoRR Rui Ai, Boxiang Lyu, Zhaoran Wang, Zhuoran Yang, Haifeng Xu
2024	J	`jnl`	Can Large Language Models Play Games? A Case Study of A Self-Play Approach. CoRR Hongyi Guo, Zhihan Liu, Yufeng Zhang, Zhaoran Wang
2024	J	`jnl`	DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMs. CoRR Zhihan Liu, Shenao Zhang, Zhaoran Wang
2024	J	`jnl`	Double Duality: Variational Primal-Dual Policy Optimization for Constrained Reinforcement Learning. CoRR Zihao Li, Boyi Liu, Zhuoran Yang, Zhaoran Wang, Mengdi Wang
2024	J	`jnl`	Dynamic datasets and market environments for financial reinforcement learning. Mach. Learn. Xiao-Yang Liu, Ziyi Xia, Hongyang Yang, Jiechao Gao, Daochen Zha, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo
2024	J	`jnl`	False Correlation Reduction for Offline Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. Zhihong Deng, Zuyue Fu, Lingxiao Wang, Zhuoran Yang, Chenjia Bai, Tianyi Zhou, Zhaoran Wang, Jing Jiang
2024	J	`jnl`	Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following. CoRR Yuxiao Yang, Shenao Zhang, Zhihan Liu, Huaxiu Yao, Zhaoran Wang
2024	J	`jnl`	How Can LLM Guide RL? A Value-Based Approach. CoRR Shenao Zhang, Sirui Zheng, Shuqi Ke, Zhihan Liu, Wanxin Jin, Jianbo Yuan, Yingxiang Yang, Hongxia Yang, Zhaoran Wang
2024	A*	`conf`	How Does Goal Relabeling Improve Sample Efficiency? ICML Sirui Zheng, Chenjia Bai, Zhuoran Yang, Zhaoran Wang
2024	J	`jnl`	Human-Instruction-Free LLM Self-Alignment with Limited Samples. CoRR Hongyi Guo, Yuanshun Yao, Wei Shen, Jiaheng Wei, Xiaoying Zhang, Zhaoran Wang, Yang Liu
2024	J	`jnl`	Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning. J. Mach. Learn. Res. Luofeng Liao, Zuyue Fu, Zhuoran Yang, Yixin Wang, Dingli Ma, Mladen Kolar, Zhaoran Wang
2024	J	`jnl`	Just say what you want: only-prompting self-rewarding online preference optimization. CoRR Ruijie Xu, Zhihan Liu, Yongfei Liu, Shipeng Yan, Zhaoran Wang, Zhi Zhang, Xuming He
2024	J	`jnl`	Language-Model-Assisted Bi-Level Programming for Reward Learning from Internet Videos. CoRR Harsh Mahesheka, Zhixian Xie, Zhaoran Wang, Wanxin Jin
2024	J	`jnl`	Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach. J. Mach. Learn. Res. Shuang Qiu, Boxiang Lyu, Qinglin Meng, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan
2024	J	`jnl`	Learning Regularized Graphon Mean-Field Games with Unknown Graphons. J. Mach. Learn. Res. Fengzhuo Zhang, Vincent Y. F. Tan, Zhaoran Wang, Zhuoran Yang
2024	A*	`conf`	Let Models Speak Ciphers: Multiagent Debate through Embeddings. ICLR Chau Pham, Boyi Liu, Yingxiang Yang, Zhengyu Chen, Tianyi Liu, Jianbo Yuan, Bryan A. Plummer, Zhaoran Wang, Hongxia Yang
2024	J	`jnl`	Monotonic Quantile Network for Worst-Case Offline Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Chenjia Bai, Ting Xiao, Zhoufan Zhu, Lingxiao Wang, Fan Zhou, Animesh Garg, Bin He, Peng Liu, Zhaoran Wang
2024	J	`jnl`	Neural Temporal Difference and Q Learning Provably Converge to Global Optima. Math. Oper. Res. Qi Cai, Zhuoran Yang, Jason D. Lee, Zhaoran Wang
2024	A*	`conf`	Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer. NeurIPS Zhihan Liu, Miao Lu, Shenao Zhang, Boyi Liu, Hongyi Guo, Yingxiang Yang, Jose H. Blanchet, Zhaoran Wang
2024	J	`jnl`	Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer. CoRR Zhihan Liu, Miao Lu, Shenao Zhang, Boyi Liu, Hongyi Guo, Yingxiang Yang, Jose H. Blanchet, Zhaoran Wang
2024	A*	`conf`	Reason for Future, Act for Now: A Principled Architecture for Autonomous LLM Agents. ICML Zhihan Liu, Hao Hu, Shenao Zhang, Hongyi Guo, Shuqi Ke, Boyi Liu, Zhaoran Wang
2024	J	`jnl`	Reward-Augmented Data Enhances Direct Preference Alignment of LLMs. CoRR Shenao Zhang, Zhihan Liu, Boyi Liu, Yufeng Zhang, Yingxiang Yang, Yongfei Liu, Liyu Chen, Tao Sun, Zhaoran Wang
2024	J	`jnl`	Safe MPC Alignment with Human Directional Feedback. CoRR Zhixian Xie, Wenlong Zhang, Yi Ren, Zhaoran Wang, George J. Pappas, Wanxin Jin
2024	A*	`conf`	Sample-Efficient Multi-Agent RL: An Optimization Perspective. ICLR Nuoya Xiong, Zhihan Liu, Zhaoran Wang, Zhuoran Yang
2024	J	`jnl`	Self-Exploring Language Models: Active Preference Elicitation for Online Alignment. CoRR Shenao Zhang, Donghan Yu, Hiteshi Sharma, Ziyi Yang, Shuohang Wang, Hany Hassan, Zhaoran Wang
2024	J	`jnl`	Toward Optimal LLM Alignments Using Two-Player Games. CoRR Rui Zheng, Hongyi Guo, Zhihan Liu, Xiaoying Zhang, Yuanshun Yao, Xiaojun Xu, Zhaoran Wang, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang, Hang Li, Yang Liu
2024	J	`jnl`	Wardrop Equilibrium Can Be Boundedly Rational: A New Behavioral Theory of Route Choice. Transp. Sci. Jiayang Li, Zhaoran Wang, Yu Marco Nie
2023	J	`jnl`	A General Framework for Sequential Decision-Making under Adaptivity Constraints. CoRR Nuoya Xiong, Zhaoran Wang, Zhuoran Yang
2023	J	`jnl`	A Principled Framework for Knowledge-enhanced Large Language Model. CoRR Saizhuo Wang, Zhihan Liu, Zhaoran Wang, Jian Guo
2023	J	`jnl`	A Two-Timescale Stochastic Algorithm Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic. SIAM J. Optim. Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang
2023	J	`jnl`	A Unified Framework of Policy Learning for Contextual Bandit with Confounding Bias and Missing Observations. CoRR Siyu Chen, Yitan Wang, Zhaoran Wang, Zhuoran Yang
2023	J	`jnl`	Achieving Hierarchy-Free Approximation for Bilevel Programs With Equilibrium Constraints. CoRR Jiayang Li, Jing Yu, Boyi Liu, Zhaoran Wang, Yu Marco Nie
2023	A*	`conf`	Achieving Hierarchy-Free Approximation for Bilevel Programs with Equilibrium Constraints. ICML Jiayang Li, Jing Yu, Boyi Liu, Yu Marco Nie, Zhaoran Wang
2023	A*	`conf`	Adaptive Barrier Smoothing for First-Order Policy Gradient with Contact Dynamics. ICML Shenao Zhang, Wanxin Jin, Zhaoran Wang
2023	J	`jnl`	Addressing Hindsight Bias in Multigoal Reinforcement Learning. IEEE Trans. Cybern. Chenjia Bai, Lingxiao Wang, Yixin Wang, Zhaoran Wang, Rui Zhao, Chenyao Bai, Peng Liu
2023	J	`jnl`	Can Reinforcement Learning Find Stackelberg-Nash Equilibria in General-Sum Markov Games with Myopically Rational Followers? J. Mach. Learn. Res. Han Zhong, Zhuoran Yang, Zhaoran Wang, Michael I. Jordan
2023	J	`jnl`	Contextual Dynamic Pricing with Strategic Buyers. CoRR Pangpang Liu, Zhuoran Yang, Zhaoran Wang, Will Wei Sun
2023	A	`conf`	Differentiable Arbitrating in Zero-sum Markov Games. AAMAS Jing Wang, Meichen Song, Feng Gao, Boyi Liu, Zhaoran Wang, Yi Wu
2023	J	`jnl`	Differentiable Arbitrating in Zero-sum Markov Games. CoRR Jing Wang, Meichen Song, Feng Gao, Boyi Liu, Zhaoran Wang, Yi Wu
2023	J	`jnl`	Double Duality: Variational Primal-Dual Policy Optimization for Constrained Reinforcement Learning. J. Mach. Learn. Res. Zihao Li, Boyi Liu, Zhuoran Yang, Zhaoran Wang, Mengdi Wang
2023	J	`jnl`	Dynamic Datasets and Market Environments for Financial Reinforcement Learning. CoRR Xiao-Yang Liu, Ziyi Xia, Hongyang Yang, Jiechao Gao, Daochen Zha, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo
2023	J	`jnl`	Empowering Autonomous Driving with Large Language Models: A Safety Perspective. CoRR Yixuan Wang, Ruochen Jiao, Chengtian Lang, Simon Sinong Zhan, Chao Huang, Zhaoran Wang, Zhuoran Yang, Qi Zhu
2023	A*	`conf`	Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments. ICML Yixuan Wang, Simon Sinong Zhan, Ruochen Jiao, Zhilu Wang, Wanxin Jin, Zhuoran Yang, Zhaoran Wang, Chao Huang, Qi Zhu
2023	A	`conf`	Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models via Reinforcement Learning. AISTATS Ruitu Xu, Yifei Min, Tianhao Wang, Michael I. Jordan, Zhaoran Wang, Zhuoran Yang
2023	J	`jnl`	Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models with Reinforcement Learning. CoRR Ruitu Xu, Yifei Min, Tianhao Wang, Zhaoran Wang, Michael I. Jordan, Zhuoran Yang
2023	—	`conf`	Joint Differentiable Optimization and Verification for Certified Reinforcement Learning. ICCPS Yixuan Wang, Simon Sinong Zhan, Zhilu Wang, Chao Huang, Zhaoran Wang, Zhuoran Yang, Qi Zhu
2023	A*	`conf`	Latent Variable Representation for Reinforcement Learning. ICLR Tongzheng Ren, Chenjun Xiao, Tianjun Zhang, Na Li, Zhaoran Wang, Sujay Sanghavi, Dale Schuurmans, Bo Dai
2023	J	`jnl`	Learning Regularized Graphon Mean-Field Games with Unknown Graphons. CoRR Fengzhuo Zhang, Vincent Y. F. Tan, Zhaoran Wang, Zhuoran Yang
2023	A*	`conf`	Learning Regularized Monotone Graphon Mean-Field Games. NeurIPS Fengzhuo Zhang, Vincent Y. F. Tan, Zhaoran Wang, Zhuoran Yang
2023	J	`jnl`	Learning Regularized Monotone Graphon Mean-Field Games. CoRR Fengzhuo Zhang, Vincent Y. F. Tan, Zhaoran Wang, Zhuoran Yang
2023	J	`jnl`	Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium. Math. Oper. Res. Qiaomin Xie, Yudong Chen, Zhaoran Wang, Zhuoran Yang
2023	J	`jnl`	Let Models Speak Ciphers: Multiagent Debate through Embeddings. CoRR Chau Pham, Boyi Liu, Yingxiang Yang, Zhengyu Chen, Tianyi Liu, Jianbo Yuan, Bryan A. Plummer, Zhaoran Wang, Hongxia Yang
2023	A*	`conf`	Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning. ICML Yulai Zhao, Zhuoran Yang, Zhaoran Wang, Jason D. Lee
2023	J	`jnl`	Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning. CoRR Yulai Zhao, Zhuoran Yang, Zhaoran Wang, Jason D. Lee
2023	A*	`conf`	Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration. NeurIPS Zhihan Liu, Miao Lu, Wei Xiong, Han Zhong, Hao Hu, Shenao Zhang, Sirui Zheng, Zhuoran Yang, Zhaoran Wang
2023	A*	`conf`	Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms. NeurIPS Shenao Zhang, Boyi Liu, Zhaoran Wang, Tuo Zhao
2023	J	`jnl`	Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms. CoRR Shenao Zhang, Boyi Liu, Zhaoran Wang, Tuo Zhao
2023	A*	`conf`	Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization. ICLR Haoran Xu, Li Jiang, Jianxiong Li, Zhuoran Yang, Zhaoran Wang, Wai Kin Victor Chan, Xianyuan Zhan
2023	J	`jnl`	Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization. CoRR Haoran Xu, Li Jiang, Jianxiong Li, Zhuoran Yang, Zhaoran Wang, Wai Kin Victor Chan, Xianyuan Zhan
2023	J	`jnl`	One Objective to Rule Them All: A Maximization Objective Fusing Estimation and Planning for Exploration. CoRR Zhihan Liu, Miao Lu, Wei Xiong, Han Zhong, Hao Hu, Shenao Zhang, Sirui Zheng, Zhuoran Yang, Zhaoran Wang
2023	A*	`conf`	Optimistic Exploration with Learned Features Provably Solves Markov Decision Processes with Neural Dynamics. ICLR Sirui Zheng, Lingxiao Wang, Shuang Qiu, Zuyue Fu, Zhuoran Yang, Csaba Szepesvári, Zhaoran Wang
2023	A*	`conf`	Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes. ICLR Miao Lu, Yifei Min, Zhaoran Wang, Zhuoran Yang
2023	A*	`conf`	Posterior Sampling for Competitive RL: Function Approximation and Partial Observation. NeurIPS Shuang Qiu, Ziyu Dai, Han Zhong, Zhaoran Wang, Zhuoran Yang, Tong Zhang
2023	J	`jnl`	Posterior Sampling for Competitive RL: Function Approximation and Partial Observation. CoRR Shuang Qiu, Ziyu Dai, Han Zhong, Zhaoran Wang, Zhuoran Yang, Tong Zhang
2023	—	`conf`	Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning. L4DC Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic
2023	J	`jnl`	Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning. CoRR Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic
2023	J	`jnl`	Provably Efficient High-Dimensional Bandit Learning with Batched Feedbacks. CoRR Jianqing Fan, Zhaoran Wang, Zhuoran Yang, Chenlu Ye
2023	J	`jnl`	Provably Efficient Reinforcement Learning with Linear Function Approximation. Math. Oper. Res. Chi Jin, Zhuoran Yang, Zhaoran Wang, Michael I. Jordan
2023	J	`jnl`	Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample Efficiency. CoRR Zhihan Liu, Hao Hu, Shenao Zhang, Hongyi Guo, Shuqi Ke, Boyi Liu, Zhaoran Wang
2023	A*	`conf`	Represent to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency. ICLR Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang
2023	J	`jnl`	Sample-Efficient Multi-Agent RL: An Optimization Perspective. CoRR Nuoya Xiong, Zhihan Liu, Zhaoran Wang, Zhuoran Yang
2023	J	`jnl`	Sparse PCA with Oracle Property. CoRR Quanquan Gu, Zhaoran Wang, Han Liu
2023	J	`jnl`	Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Chenjia Bai, Peng Liu, Kaiyu Liu, Lingxiao Wang, Yingnan Zhao, Lei Han, Zhaoran Wang
2023	J	`jnl`	Wardrop Equilibrium Can Be Boundedly Rational: A New Behavioral Theory of Route Choice. CoRR Jiayang Li, Zhaoran Wang, Yu Marco Nie
2023	J	`jnl`	What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization. CoRR Yufeng Zhang, Fengzhuo Zhang, Zhuoran Yang, Zhaoran Wang
2022	J	`jnl`	A Reinforcement Learning Approach in Multi-Phase Second-Price Auction Design. CoRR Rui Ai, Boxiang Lyu, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan
2022	A*	`conf`	A Unifying Framework of Off-Policy General Value Function Evaluation. NeurIPS Tengyu Xu, Zhuoran Yang, Zhaoran Wang, Yingbin Liang
2022	—	`conf`	Accelerate online reinforcement learning for building HVAC control with heterogeneous expert guidances. BuildSys Shichao Xu, Yangyang Fu, Yixuan Wang, Zhuoran Yang, Zheng O'Neill, Zhaoran Wang, Qi Zhu
2022	A*	`conf`	Adaptive Model Design for Markov Decision Process. ICML Siyu Chen, Donglin Yang, Jiayang Li, Senmiao Wang, Zhuoran Yang, Zhaoran Wang
2022	J	`jnl`	An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models. CoRR Yufeng Zhang, Boyi Liu, Qi Cai, Lingxiao Wang, Zhaoran Wang
2022	A*	`conf`	Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning. ICML Shuang Qiu, Lingxiao Wang, Chenjia Bai, Zhuoran Yang, Zhaoran Wang
2022	J	`jnl`	Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning. CoRR Shuang Qiu, Lingxiao Wang, Chenjia Bai, Zhuoran Yang, Zhaoran Wang
2022	A*	`conf`	Design-while-verify: correct-by-construction control learning with verification in the loop. DAC Yixuan Wang, Chao Huang, Zhaoran Wang, Zhilu Wang, Qi Zhu
2022	J	`jnl`	Differentiable Bilevel Programming for Stackelberg Congestion Games. CoRR Jiayang Li, Jing Yu, Qianni Wang, Boyi Liu, Zhaoran Wang, Yu Marco Nie
2022	J	`jnl`	Embed to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency. CoRR Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang
2022	J	`jnl`	Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments. CoRR Yixuan Wang, Simon Sinong Zhan, Ruochen Jiao, Zhilu Wang, Wanxin Jin, Zhuoran Yang, Zhaoran Wang, Chao Huang, Qi Zhu
2022	A*	`conf`	Exponential Family Model-Based Reinforcement Learning via Score Matching. NeurIPS Gene Li, Junbo Li, Anmol Kabra, Nati Srebro, Zhaoran Wang, Zhuoran Yang
2022	J	`jnl`	Federated Offline Reinforcement Learning. CoRR Doudou Zhou, Yufeng Zhang, Aaron Sonabend W., Zhaoran Wang, Junwei Lu, Tianxi Cai
2022	A*	`conf`	FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning. NeurIPS Xiao-Yang Liu, Ziyi Xia, Jingyang Rui, Jiechao Gao, Hongyang Yang, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo
2022	J	`jnl`	GEC: A Unified Framework for Interactive Decision Making in MDP, POMDP, and Beyond. CoRR Han Zhong, Wei Xiong, Sirui Zheng, Liwei Wang, Zhaoran Wang, Zhuoran Yang, Tong Zhang
2022	A	`conf`	Gap-Dependent Bounds for Two-Player Markov Games. AISTATS Zehao Dou, Zhuoran Yang, Zhaoran Wang, Simon S. Du
2022	A*	`conf`	Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation. ICML Xiaoyu Chen, Han Zhong, Zhuoran Yang, Zhaoran Wang, Liwei Wang
2022	J	`jnl`	Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation. CoRR Xiaoyu Chen, Han Zhong, Zhuoran Yang, Zhaoran Wang, Liwei Wang
2022	A*	`conf`	Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence. NeurIPS Boyi Liu, Jiayang Li, Zhuoran Yang, Hoi-To Wai, Mingyi Hong, Yu Marco Nie, Zhaoran Wang
2022	J	`jnl`	Joint Differentiable Optimization and Verification for Certified Reinforcement Learning. CoRR Yixuan Wang, Chao Huang, Zhaoran Wang, Zhuoran Yang, Qi Zhu
2022	J	`jnl`	Latent Variable Representation for Reinforcement Learning. CoRR Tongzheng Ren, Chenjun Xiao, Tianjun Zhang, Na Li, Zhaoran Wang, Sujay Sanghavi, Dale Schuurmans, Bo Dai
2022	A*	`conf`	Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets. NeurIPS Yifei Min, Tianhao Wang, Ruitu Xu, Zhaoran Wang, Michael I. Jordan, Zhuoran Yang
2022	J	`jnl`	Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets. CoRR Yifei Min, Tianhao Wang, Ruitu Xu, Zhaoran Wang, Michael I. Jordan, Zhuoran Yang
2022	J	`jnl`	Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach. CoRR Boxiang Lyu, Qinglin Meng, Shuang Qiu, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan
2022	A*	`conf`	Learning from Demonstration: Provably Efficient Adversarial Policy Imitation with Linear Function Approximation. ICML Zhihan Liu, Yufeng Zhang, Zuyue Fu, Zhuoran Yang, Zhaoran Wang
2022	J	`jnl`	Offline Policy Optimization in RL with Variance Regularizaton. CoRR Riashat Islam, Samarth Sinha, Homanga Bharadhwaj, Samin Yeasar Arnob, Zhuoran Yang, Animesh Garg, Zhaoran Wang, Lihong Li, Doina Precup
2022	J	`jnl`	Offline Reinforcement Learning for Human-Guided Human-Machine Interaction with Private Information. CoRR Zuyue Fu, Zhengling Qi, Zhuoran Yang, Zhaoran Wang, Lan Wang
2022	J	`jnl`	Offline Reinforcement Learning with Instrumental Variables in Confounded Markov Decision Processes. CoRR Zuyue Fu, Zhengling Qi, Zhaoran Wang, Zhuoran Yang, Yanxun Xu, Michael R. Kosorok
2022	J	`jnl`	Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes. CoRR Miao Lu, Yifei Min, Zhaoran Wang, Zhuoran Yang
2022	A*	`conf`	Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning. ICML Boxiang Lyu, Zhaoran Wang, Mladen Kolar, Zhuoran Yang
2022	J	`jnl`	Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning. CoRR Boxiang Lyu, Zhaoran Wang, Mladen Kolar, Zhuoran Yang
2022	A*	`conf`	Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning. ICLR Chenjia Bai, Lingxiao Wang, Zhuoran Yang, Zhi-Hong Deng, Animesh Garg, Peng Liu, Zhaoran Wang
2022	J	`jnl`	Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning. CoRR Chenjia Bai, Lingxiao Wang, Zhuoran Yang, Zhihong Deng, Animesh Garg, Peng Liu, Zhaoran Wang
2022	A*	`conf`	Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets. ICML Han Zhong, Wei Xiong, Jiyuan Tan, Liwei Wang, Tong Zhang, Zhaoran Wang, Zhuoran Yang
2022	J	`jnl`	Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets. CoRR Han Zhong, Wei Xiong, Jiyuan Tan, Liwei Wang, Tong Zhang, Zhaoran Wang, Zhuoran Yang
2022	J	`jnl`	Policy learning "without" overlap: Pessimism and generalized empirical Bernstein's inequality. CoRR Ying Jin, Zhimei Ren, Zhuoran Yang, Zhaoran Wang
2022	J	`jnl`	Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions. CoRR Shuang Qiu, Xiaohan Wei, Jieping Ye, Zhaoran Wang, Zhuoran Yang
2022	A*	`conf`	Provably Efficient Offline Reinforcement Learning for Partially Observable Markov Decision Processes. ICML Hongyi Guo, Qi Cai, Yufeng Zhang, Zhuoran Yang, Zhaoran Wang
2022	A*	`conf`	RORL: Robust Offline Reinforcement Learning via Conservative Smoothing. NeurIPS Rui Yang, Chenjia Bai, Xiaoteng Ma, Zhaoran Wang, Chongjie Zhang, Lei Han
2022	J	`jnl`	RORL: Robust Offline Reinforcement Learning via Conservative Smoothing. CoRR Rui Yang, Chenjia Bai, Xiaoteng Ma, Zhaoran Wang, Chongjie Zhang, Lei Han
2022	A*	`conf`	Reinforcement Learning from Partial Observation: Linear Function Approximation with Provable Sample Efficiency. ICML Qi Cai, Zhuoran Yang, Zhaoran Wang
2022	A*	`conf`	Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL. NeurIPS Fengzhuo Zhang, Boyi Liu, Kaixin Wang, Vincent Y. F. Tan, Zhuoran Yang, Zhaoran Wang
2022	J	`jnl`	Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL. CoRR Fengzhuo Zhang, Boyi Liu, Kaixin Wang, Vincent Y. F. Tan, Zhuoran Yang, Zhaoran Wang
2022	J	`jnl`	Sample-Efficient Reinforcement Learning for POMDPs with Linear Function Approximations. CoRR Qi Cai, Zhuoran Yang, Zhaoran Wang
2022	A*	`conf`	Sequential Information Design: Markov Persuasion Process and Its Efficient Reinforcement Learning. EC Jibang Wu, Zixuan Zhang, Zhe Feng, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan, Haifeng Xu
2022	J	`jnl`	Sequential Information Design: Markov Persuasion Process and Its Efficient Reinforcement Learning. CoRR Jibang Wu, Zixuan Zhang, Zhe Feng, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan, Haifeng Xu
2022	A*	`conf`	Towards General Function Approximation in Zero-Sum Markov Games. ICLR Baihe Huang, Jason D. Lee, Zhaoran Wang, Zhuoran Yang
2022	A*	`conf`	Welfare Maximization in Competitive Equilibrium: Reinforcement Learning for Markov Exchange Economy. ICML Zhihan Liu, Miao Lu, Zhaoran Wang, Michael I. Jordan, Zhuoran Yang
2021	J	`jnl`	A Momentum-Assisted Single-Timescale Stochastic Approximation Algorithm for Bilevel Optimization. CoRR Prashant Khanduri, Siliang Zeng, Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang
2021	A*	`conf`	A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum. NeurIPS Prashant Khanduri, Siliang Zeng, Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang
2021	J	`jnl`	A Unified Off-Policy Evaluation Approach for General Value Function. CoRR Tengyu Xu, Zhuoran Yang, Zhaoran Wang, Yingbin Liang
2021	A*	`conf`	BooVI: Provably Efficient Bootstrapped Value Iteration. NeurIPS Boyi Liu, Qi Cai, Zhuoran Yang, Zhaoran Wang
2021	J	`jnl`	Can Reinforcement Learning Find Stackelberg-Nash Equilibria in General-Sum Markov Games with Myopic Followers? CoRR Han Zhong, Zhuoran Yang, Zhaoran Wang, Michael I. Jordan
2021	A*	`conf`	Cocktail: Learn a Better Neural Network Controller from Multiple Experts via Adaptive Mixing and Robust Distillation. DAC Yixuan Wang, Chao Huang, Zhilu Wang, Shichao Xu, Zhaoran Wang, Qi Zhu
2021	J	`jnl`	Cocktail: Learn a Better Neural Network Controller from Multiple Experts via Adaptive Mixing and Robust Distillation. CoRR Yixuan Wang, Chao Huang, Zhilu Wang, Shichao Xu, Zhaoran Wang, Qi Zhu
2021	A*	`conf`	Decentralized Single-Timescale Actor-Critic on Zero-Sum Two-Player Stochastic Games. ICML Hongyi Guo, Zuyue Fu, Zhuoran Yang, Zhaoran Wang
2021	A*	`conf`	Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality. ICML Tengyu Xu, Zhuoran Yang, Zhaoran Wang, Yingbin Liang
2021	J	`jnl`	Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality. CoRR Tengyu Xu, Zhuoran Yang, Zhaoran Wang, Yingbin Liang
2021	A*	`conf`	Dynamic Bottleneck for Robust Self-Supervised Exploration. NeurIPS Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang
2021	J	`jnl`	Dynamic Bottleneck for Robust Self-Supervised Exploration. CoRR Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang
2021	J	`jnl`	ElegantRL-Podracer: Scalable and Elastic Library for Cloud-Native Deep Reinforcement Learning. CoRR Xiao-Yang Liu, Zechu Li, Zhuoran Yang, Jiahao Zheng, Zhaoran Wang, Anwar Walid, Jian Guo, Michael I. Jordan
2021	A*	`conf`	Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning. NeurIPS Yingjie Fei, Zhuoran Yang, Yudong Chen, Zhaoran Wang
2021	J	`jnl`	Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning. CoRR Yingjie Fei, Zhuoran Yang, Yudong Chen, Zhaoran Wang
2021	J	`jnl`	Exponential Family Model-Based Reinforcement Learning via Score Matching. CoRR Gene Li, Junbo Li, Nathan Srebro, Zhaoran Wang, Zhuoran Yang
2021	J	`jnl`	FinRL-Meta: A Universe of Near-Real Market Environments for Data-Driven Deep Reinforcement Learning in Quantitative Finance. CoRR Xiao-Yang Liu, Jingyang Rui, Jiechao Gao, Liuqing Yang, Hongyang Yang, Zhaoran Wang, Christina Dan Wang, Jian Guo
2021	J	`jnl`	FinRL-Podracer: High Performance and Scalable Deep Reinforcement Learning for Quantitative Finance. CoRR Zechu Li, Xiao-Yang Liu, Jiahao Zheng, Zhaoran Wang, Anwar Walid, Jian Guo
2021	—	`conf`	FinRL-podracer: high performance and scalable deep reinforcement learning for quantitative finance. ICAIF Zechu Li, Xiao-Yang Liu, Jiahao Zheng, Zhaoran Wang, Anwar Walid, Jian Guo
2021	J	`jnl`	Gap-Dependent Bounds for Two-Player Markov Games. CoRR Zehao Dou, Zhuoran Yang, Zhaoran Wang, Simon S. Du
2021	A*	`conf`	Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous Time. ICML Weichen Wang, Jiequn Han, Zhuoran Yang, Zhaoran Wang
2021	J	`jnl`	Inducing Equilibria via Incentives: Simultaneous Design-and-Play Finds Global Optima. CoRR Boyi Liu, Jiayang Li, Zhuoran Yang, Hoi-To Wai, Mingyi Hong, Yu Marco Nie, Zhaoran Wang
2021	A*	`conf`	Infinite-Dimensional Optimization for Zero-Sum Games via Variational Transport. ICML Lewis Liu, Yufeng Zhang, Zhuoran Yang, Reza Babanezhad, Zhaoran Wang
2021	J	`jnl`	Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning. CoRR Luofeng Liao, Zuyue Fu, Zhuoran Yang, Mladen Kolar, Zhaoran Wang
2021	A*	`conf`	Is Pessimism Provably Efficient for Offline RL? ICML Ying Jin, Zhuoran Yang, Zhaoran Wang
2021	A*	`conf`	Learning While Playing in Mean-Field Games: Convergence and Optimality. ICML Qiaomin Xie, Zhuoran Yang, Zhaoran Wang, Andreea Minca
2021	A*	`conf`	Offline Constrained Multi-Objective Reinforcement Learning via Pessimistic Dual Value Iteration. NeurIPS Runzhe Wu, Yufeng Zhang, Zhuoran Yang, Zhaoran Wang
2021	J	`jnl`	On Finite-Time Convergence of Actor-Critic Algorithm. IEEE J. Sel. Areas Inf. Theory Shuang Qiu, Zhuoran Yang, Jieping Ye, Zhaoran Wang
2021	A*	`conf`	On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game. ICML Shuang Qiu, Jieping Ye, Zhaoran Wang, Zhuoran Yang
2021	J	`jnl`	On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game. CoRR Shuang Qiu, Jieping Ye, Zhaoran Wang, Zhuoran Yang
2021	J	`jnl`	Online Bootstrap Inference For Policy Evaluation in Reinforcement Learning. CoRR Pratik Ramprasad, Yuantong Li, Zhuoran Yang, Zhaoran Wang, Will Wei Sun, Guang Cheng
2021	J	`jnl`	Optimistic Policy Optimization is Provably Efficient in Non-stationary MDPs. CoRR Han Zhong, Zhuoran Yang, Zhaoran Wang, Csaba Szepesvári
2021	J	`jnl`	Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach. CoRR Yan Li, Lingxiao Wang, Jiachen Yang, Ethan Wang, Zhaoran Wang, Tuo Zhao, Hongyuan Zha
2021	A*	`conf`	Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL. NeurIPS Minshuo Chen, Yan Li, Ethan Wang, Zhuoran Yang, Zhaoran Wang, Tuo Zhao
2021	A*	`conf`	Principled Exploration via Optimistic Bootstrapping and Backward Induction. ICML Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang
2021	J	`jnl`	Principled Exploration via Optimistic Bootstrapping and Backward Induction. CoRR Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang
2021	A	`conf`	Provably Efficient Actor-Critic for Risk-Sensitive and Robust Adversarial RL: A Linear-Quadratic Case. AISTATS Yufeng Zhang, Zhuoran Yang, Zhaoran Wang
2021	A*	`conf`	Provably Efficient Causal Reinforcement Learning with Confounded Observational Data. NeurIPS Lingxiao Wang, Zhuoran Yang, Zhaoran Wang
2021	A*	`conf`	Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions. ICML Shuang Qiu, Xiaohan Wei, Jieping Ye, Zhaoran Wang, Zhuoran Yang
2021	J	`jnl`	Provably Efficient Generative Adversarial Imitation Learning for Online and Offline Setting with Linear Function Approximation. CoRR Zhihan Liu, Yufeng Zhang, Zuyue Fu, Zhuoran Yang, Zhaoran Wang
2021	A	`conf`	Provably Efficient Safe Exploration via Primal-Dual Policy Optimization. AISTATS Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic
2021	—	`conf`	Provably Sample Efficient Reinforcement Learning in Competitive Linear Quadratic Systems. L4DC Jingwei Zhang, Zhuoran Yang, Zhengyuan Zhou, Zhaoran Wang
2021	J	`jnl`	Randomized Exploration for Reinforcement Learning with General Value Function Approximation. CoRR Haque Ishfaq, Qiwen Cui, Viet Nguyen, Alex Ayoub, Zhuoran Yang, Zhaoran Wang, Doina Precup, Lin F. Yang
2021	A*	`conf`	Randomized Exploration in Reinforcement Learning with General Value Function Approximation. ICML Haque Ishfaq, Qiwen Cui, Viet Nguyen, Alex Ayoub, Zhuoran Yang, Zhaoran Wang, Doina Precup, Lin Yang
2021	A*	`conf`	Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach. ICML Yingjie Fei, Zhuoran Yang, Zhaoran Wang
2021	J	`jnl`	SCORE: Spurious COrrelation REduction for Offline Reinforcement Learning. CoRR Zhihong Deng, Zuyue Fu, Lingxiao Wang, Zhuoran Yang, Chenjia Bai, Zhaoran Wang, Jing Jiang
2021	A	`conf`	Sample Elicitation. AISTATS Jiaheng Wei, Zuyue Fu, Yang Liu, Xingyu Li, Zhuoran Yang, Zhaoran Wang
2021	A*	`conf`	Single-Timescale Actor-Critic Provably Finds Globally Optimal Policy. ICLR Zuyue Fu, Zhuoran Yang, Zhaoran Wang
2021	J	`jnl`	Spectrum Truncation Power Iteration for Agnostic Matrix Phase Retrieval. IEEE Trans. Signal Process. Lewis Liu, Songtao Lu, Tuo Zhao, Zhaoran Wang
2021	J	`jnl`	Towards General Function Approximation in Zero-Sum Markov Games. CoRR Baihe Huang, Jason D. Lee, Zhaoran Wang, Zhuoran Yang
2021	J	`jnl`	Verification in the Loop: Correct-by-Construction Control Learning with Reach-avoid Guarantees. CoRR Yixuan Wang, Chao Huang, Zhaoran Wang, Zhilu Wang, Qi Zhu
2021	A*	`conf`	Wasserstein Flow Meets Replicator Dynamics: A Mean-Field Analysis of Representation Learning in Actor-Critic. NeurIPS Yufeng Zhang, Siyu Chen, Zhuoran Yang, Michael I. Jordan, Zhaoran Wang
2021	J	`jnl`	Wasserstein Flow Meets Replicator Dynamics: A Mean-Field Analysis of Representation Learning in Actor-Critic. CoRR Yufeng Zhang, Siyu Chen, Zhuoran Yang, Michael I. Jordan, Zhaoran Wang
2020	—	`conf`	A Theoretical Analysis of Deep Q-Learning. L4DC Jianqing Fan, Zhaoran Wang, Yuchen Xie, Zhuoran Yang
2020	J	`jnl`	A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic. CoRR Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang
2020	J	`jnl`	Accelerating Nonconvex Learning via Replica Exchange Langevin Diffusion. CoRR Yi Chen, Jinglin Chen, Jing Dong, Jian Peng, Zhaoran Wang
2020	A*	`conf`	Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games. ICLR Zuyue Fu, Zhuoran Yang, Yongxin Chen, Zhaoran Wang
2020	J	`jnl`	Agnostic Estimation for Phase Retrieval. J. Mach. Learn. Res. Matey Neykov, Zhaoran Wang, Han Liu
2020	A*	`conf`	Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning. ICML Lingxiao Wang, Zhuoran Yang, Zhaoran Wang
2020	J	`jnl`	Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning. CoRR Lingxiao Wang, Zhuoran Yang, Zhaoran Wang
2020	J	`jnl`	Bridging Exploration and General Function Approximation in Reinforcement Learning: Provably Efficient Kernel and Neural Value Iterations. CoRR Zhuoran Yang, Chi Jin, Zhaoran Wang, Mengdi Wang, Michael I. Jordan
2020	A*	`conf`	Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory. NeurIPS Yufeng Zhang, Qi Cai, Zhuoran Yang, Yongxin Chen, Zhaoran Wang
2020	J	`jnl`	Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory. CoRR Yufeng Zhang, Qi Cai, Zhuoran Yang, Yongxin Chen, Zhaoran Wang
2020	A*	`conf`	Computational and Statistical Tradeoffs in Inferring Combinatorial Structures of Ising Model. ICML Ying Jin, Zhaoran Wang, Junwei Lu
2020	A*	`conf`	Deep Reinforcement Learning with Robust and Smooth Policy. ICML Qianli Shen, Yan Li, Haoming Jiang, Zhaoran Wang, Tuo Zhao
2020	J	`jnl`	Deep Reinforcement Learning with Smooth Policy. CoRR Qianli Shen, Yan Li, Haoming Jiang, Zhaoran Wang, Tuo Zhao
2020	A*	`conf`	Dynamic Regret of Policy Optimization in Non-Stationary Environments. NeurIPS Yingjie Fei, Zhuoran Yang, Zhaoran Wang, Qiaomin Xie
2020	J	`jnl`	Dynamic Regret of Policy Optimization in Non-stationary Environments. CoRR Yingjie Fei, Zhuoran Yang, Zhaoran Wang, Qiaomin Xie
2020	A*	`conf`	End-to-End Learning and Intervention in Games. NeurIPS Jiayang Li, Jing Yu, Yu Marco Nie, Zhaoran Wang
2020	J	`jnl`	End-to-End Learning and Intervention in Games. CoRR Jiayang Li, Jing Yu, Yu Marco Nie, Zhaoran Wang
2020	A*	`conf`	Generative Adversarial Imitation Learning with Neural Network Parameterization: Global Optimality and Convergence Rate. ICML Yufeng Zhang, Qi Cai, Zhuoran Yang, Zhaoran Wang
2020	J	`jnl`	Generative Adversarial Imitation Learning with Neural Networks: Global Optimality and Convergence Rate. CoRR Yufeng Zhang, Qi Cai, Zhuoran Yang, Zhaoran Wang
2020	J	`jnl`	Is Pessimism Provably Efficient for Offline RL? CoRR Ying Jin, Zhuoran Yang, Zhaoran Wang
2020	A*	`conf`	Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium. COLT Qiaomin Xie, Yudong Chen, Zhaoran Wang, Zhuoran Yang
2020	J	`jnl`	Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium. CoRR Qiaomin Xie, Yudong Chen, Zhaoran Wang, Zhuoran Yang
2020	J	`jnl`	Nearly Dimension-Independent Sparse Linear Bandit over Small Action Spaces via Best Subset Selection. CoRR Yining Wang, Yi Chen, Ethan X. Fang, Zhaoran Wang, Runze Li
2020	J	`jnl`	Neural Certificates for Safe Control Policies. CoRR Wanxin Jin, Zhaoran Wang, Zhuoran Yang, Shaoshuai Mou
2020	A*	`conf`	Neural Policy Gradient Methods: Global Optimality and Rates of Convergence. ICLR Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang
2020	A*	`conf`	On Computation and Generalization of Generative Adversarial Imitation Learning. ICLR Minshuo Chen, Yizhou Wang, Tianyi Liu, Zhuoran Yang, Xingguo Li, Zhaoran Wang, Tuo Zhao
2020	J	`jnl`	On Computation and Generalization of Generative Adversarial Imitation Learning. CoRR Minshuo Chen, Yizhou Wang, Tianyi Liu, Zhuoran Yang, Xingguo Li, Zhaoran Wang, Tuo Zhao
2020	A*	`conf`	On the Global Optimality of Model-Agnostic Meta-Learning. ICML Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang
2020	J	`jnl`	On the Global Optimality of Model-Agnostic Meta-Learning. CoRR Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang
2020	A*	`conf`	Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework. NeurIPS Wanxin Jin, Zhaoran Wang, Zhuoran Yang, Shaoshuai Mou
2020	J	`jnl`	Provable Fictitious Play for General Mean-Field Games. CoRR Qiaomin Xie, Zhuoran Yang, Zhaoran Wang, Andreea Minca
2020	J	`jnl`	Provably Efficient Causal Reinforcement Learning with Confounded Observational Data. CoRR Lingxiao Wang, Zhuoran Yang, Zhaoran Wang
2020	A*	`conf`	Provably Efficient Exploration in Policy Optimization. ICML Qi Cai, Zhuoran Yang, Chi Jin, Zhaoran Wang
2020	J	`jnl`	Provably Efficient Neural Estimation of Structural Equation Model: An Adversarial Approach. CoRR Luofeng Liao, You-Lin Chen, Zhuoran Yang, Bo Dai, Zhaoran Wang, Mladen Kolar
2020	A*	`conf`	Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial Approach. NeurIPS Luofeng Liao, You-Lin Chen, Zhuoran Yang, Bo Dai, Mladen Kolar, Zhaoran Wang
2020	A*	`conf`	Provably Efficient Neural GTD for Off-Policy Learning. NeurIPS Hoi-To Wai, Zhuoran Yang, Zhaoran Wang, Mingyi Hong
2020	A*	`conf`	Provably Efficient Reinforcement Learning with Kernel and Neural Function Approximations. NeurIPS Zhuoran Yang, Chi Jin, Zhaoran Wang, Mengdi Wang, Michael I. Jordan
2020	J	`jnl`	Provably Efficient Safe Exploration via Primal-Dual Policy Optimization. CoRR Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic
2020	J	`jnl`	Provably Training Neural Network Classifiers under Fairness Constraints. CoRR You-Lin Chen, Zhaoran Wang, Mladen Kolar
2020	A*	`conf`	Provably efficient reinforcement learning with linear function approximation. COLT Chi Jin, Zhuoran Yang, Zhaoran Wang, Michael I. Jordan
2020	J	`jnl`	Risk-Sensitive Deep RL: Variance-Constrained Actor-Critic Provably Finds Globally Optimal Policy. CoRR Han Zhong, Ethan X. Fang, Zhuoran Yang, Zhaoran Wang
2020	A*	`conf`	Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret. NeurIPS Yingjie Fei, Zhuoran Yang, Yudong Chen, Zhaoran Wang, Qiaomin Xie
2020	J	`jnl`	Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret. CoRR Yingjie Fei, Zhuoran Yang, Yudong Chen, Zhaoran Wang, Qiaomin Xie
2020	A*	`conf`	Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees. ICML Sen Na, Yuwei Luo, Zhuoran Yang, Zhaoran Wang, Mladen Kolar
2020	J	`jnl`	Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees. CoRR Sen Na, Yuwei Luo, Zhuoran Yang, Zhaoran Wang, Mladen Kolar
2020	J	`jnl`	Single-Timescale Actor-Critic Provably Finds Globally Optimal Policy. CoRR Zuyue Fu, Zhuoran Yang, Zhaoran Wang
2020	J	`jnl`	Single-Timescale Stochastic Nonconvex-Concave Optimization for Smooth Nonlinear TD Learning. CoRR Shuang Qiu, Zhuoran Yang, Xiaohan Wei, Jieping Ye, Zhaoran Wang
2020	J	`jnl`	Tensor Graphical Model: Non-Convex Optimization and Statistical Inference. IEEE Trans. Pattern Anal. Mach. Intell. Xiang Lyu, Will Wei Sun, Zhaoran Wang, Han Liu, Jian Yang, Guang Cheng
2020	J	`jnl`	Upper Confidence Primal-Dual Optimization: Stochastically Constrained Markov Decision Processes with Adversarial Losses and Unknown Transitions. CoRR Shuang Qiu, Xiaohan Wei, Zhuoran Yang, Jieping Ye, Zhaoran Wang
2020	A*	`conf`	Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss. NeurIPS Shuang Qiu, Xiaohan Wei, Zhuoran Yang, Jieping Ye, Zhaoran Wang
2020	J	`jnl`	Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning. CoRR Chenjia Bai, Peng Liu, Zhaoran Wang, Kaiyu Liu, Lingxiao Wang, Yingnan Zhao
2020	J	`jnl`	Variational Transport: A Convergent Particle-BasedAlgorithm for Distributional Optimization. CoRR Zhuoran Yang, Yufeng Zhang, Yongxin Chen, Zhaoran Wang
2019	—	`conf`	A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning. CDC Yixuan Lin, Kaiqing Zhang, Zhuoran Yang, Zhaoran Wang, Tamer Basar, Romeil Sandhu, Ji Liu
2019	J	`jnl`	A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning. CoRR Yixuan Lin, Kaiqing Zhang, Zhuoran Yang, Zhaoran Wang, Tamer Basar, Romeil Sandhu, Ji Liu
2019	J	`jnl`	A Multi-Agent Off-Policy Actor-Critic Algorithm for Distributed Reinforcement Learning. CoRR Wesley Suttle, Zhuoran Yang, Kaiqing Zhang, Zhaoran Wang, Tamer Basar, Ji Liu
2019	J	`jnl`	A Theoretical Analysis of Deep Q-Learning. CoRR Zhuoran Yang, Yuchen Xie, Zhaoran Wang
2019	—	`conf`	Accelerating Nonconvex Learning via Replica Exchange Langevin diffusion. ICLR (Poster) Yi Chen, Jinglin Chen, Jing Dong, Jian Peng, Zhaoran Wang
2019	J	`jnl`	Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games. CoRR Zuyue Fu, Zhuoran Yang, Yongxin Chen, Zhaoran Wang
2019	A*	`conf`	Convergent Policy Optimization for Safe Reinforcement Learning. NeurIPS Ming Yu, Zhuoran Yang, Mladen Kolar, Zhaoran Wang
2019	J	`jnl`	Convergent Policy Optimization for Safe Reinforcement Learning. CoRR Ming Yu, Zhuoran Yang, Mladen Kolar, Zhaoran Wang
2019	J	`jnl`	Credible Sample Elicitation by Deep Learning, for Deep Learning. CoRR Yang Liu, Zuyue Fu, Zhuoran Yang, Zhaoran Wang
2019	J	`jnl`	Fast Multi-Agent Temporal-Difference Learning via Homotopy Stochastic Primal-Dual Optimization. CoRR Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic
2019	J	`jnl`	High-dimensional Varying Index Coefficient Models via Stein's Identity. J. Mach. Learn. Res. Sen Na, Zhuoran Yang, Zhaoran Wang, Mladen Kolar
2019	—	`conf`	Learning Partially Observable Markov Decision Processes Using Coupled Canonical Polyadic Decomposition. DSW Kejun Huang, Zhuoran Yang, Zhaoran Wang, Mingyi Hong
2019	J	`jnl`	Misspecified nonconvex statistical optimization for sparse phase retrieval. Math. Program. Zhuoran Yang, Lin F. Yang, Ethan X. Fang, Tuo Zhao, Zhaoran Wang, Matey Neykov
2019	J	`jnl`	More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning. CoRR Xinyang Yi, Zhaoran Wang, Zhuoran Yang, Constantine Caramanis, Han Liu
2019	J	`jnl`	Natural Actor-Critic Converges Globally for Hierarchical Linear Quadratic Regulator. CoRR Yuwei Luo, Zhuoran Yang, Zhaoran Wang, Mladen Kolar
2019	J	`jnl`	Neural Policy Gradient Methods: Global Optimality and Rates of Convergence. CoRR Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang
2019	J	`jnl`	Neural Proximal/Trust Region Policy Optimization Attains Globally Optimal Policy. CoRR Boyi Liu, Qi Cai, Zhuoran Yang, Zhaoran Wang
2019	A*	`conf`	Neural Temporal-Difference Learning Converges to Global Optima. NeurIPS Qi Cai, Zhuoran Yang, Jason D. Lee, Zhaoran Wang
2019	J	`jnl`	Neural Temporal-Difference Learning Converges to Global Optima. CoRR Qi Cai, Zhuoran Yang, Jason D. Lee, Zhaoran Wang
2019	A*	`conf`	Neural Trust Region/Proximal Policy Optimization Attains Globally Optimal Policy. NeurIPS Boyi Liu, Qi Cai, Zhuoran Yang, Zhaoran Wang
2019	—	`conf`	Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error Reduction via Surrogate Policy. ICLR (Poster) Yuan Xie, Boyi Liu, Qiang Liu, Zhaoran Wang, Yuan Zhou, Jian Peng
2019	J	`jnl`	On the Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost. CoRR Zhuoran Yang, Yongxin Chen, Mingyi Hong, Zhaoran Wang
2019	J	`jnl`	On the Global Convergence of Imitation Learning: A Case for Linear Quadratic Regulator. CoRR Qi Cai, Mingyi Hong, Yongxin Chen, Zhaoran Wang
2019	A*	`conf`	On the statistical rate of nonlinear recovery in generative models with heavy-tailed data. ICML Xiaohan Wei, Zhuoran Yang, Zhaoran Wang
2019	J	`jnl`	Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework. CoRR Wanxin Jin, Zhaoran Wang, Zhuoran Yang, Shaoshuai Mou
2019	J	`jnl`	Provably Efficient Exploration in Policy Optimization. CoRR Qi Cai, Zhuoran Yang, Chi Jin, Zhaoran Wang
2019	J	`jnl`	Provably Efficient Reinforcement Learning with Linear Function Approximation. CoRR Chi Jin, Zhuoran Yang, Zhaoran Wang, Michael I. Jordan
2019	A*	`conf`	Provably Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost. NeurIPS Zhuoran Yang, Yongxin Chen, Mingyi Hong, Zhaoran Wang
2019	A*	`conf`	Statistical-Computational Tradeoff in Single Index Models. NeurIPS Lingxiao Wang, Zhuoran Yang, Zhaoran Wang
2019	J	`jnl`	Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization. IEEE Trans. Inf. Theory Xingguo Li, Junwei Lu, Raman Arora, Jarvis D. Haupt, Han Liu, Zhaoran Wang, Tuo Zhao
2019	A*	`conf`	Variance Reduced Policy Evaluation with Smooth Function Approximation. NeurIPS Hoi-To Wai, Mingyi Hong, Zhuoran Yang, Zhaoran Wang, Kexin Tang
2018	J	`jnl`	A convex formulation for high-dimensional sparse sliced inverse regression. CoRR Kean Ming Tan, Zhaoran Wang, Tong Zhang, Han Liu, R. Dennis Cook
2018	A*	`conf`	Contrastive Learning from Pairwise Measurements. NeurIPS Yi Chen, Zhuoran Yang, Yuchen Xie, Zhaoran Wang
2018	J	`jnl`	Curse of Heterogeneity: Computational Barriers in Sparse Mixture Models and Phase Retrieval. CoRR Jianqing Fan, Han Liu, Zhaoran Wang, Zhuoran Yang
2018	J	`jnl`	Detecting Nonlinear Causality in Multivariate Time Series with Sparse Additive Models. CoRR Yingxiang Yang, Adams Wei Yu, Zhaoran Wang, Tuo Zhao
2018	A*	`conf`	Dynamic Truth Discovery on Numerical Data. ICDM Shi Zhi, Fan Yang, Zheyi Zhu, Qi Li, Zhaoran Wang, Jiawei Han
2018	J	`jnl`	High-dimensional Varying Index Coefficient Models via Stein's Identity. CoRR Sen Na, Zhuoran Yang, Zhaoran Wang, Mladen Kolar
2018	A	`conf`	Minimax-Optimal Privacy-Preserving Sparse PCA in Distributed Systems. AISTATS Jason Ge, Zhaoran Wang, Mengdi Wang, Han Liu
2018	A*	`conf`	Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization. NeurIPS Hoi-To Wai, Zhuoran Yang, Zhaoran Wang, Mingyi Hong
2018	J	`jnl`	Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization. CoRR Hoi-To Wai, Zhuoran Yang, Zhaoran Wang, Mingyi Hong
2018	—	`—`	Nonconvex Statistical Optimization Zhaoran Wang
2018	A	`conf`	Nonlinear Structured Signal Estimation in High Dimensions via Iterative Hard Thresholding. AISTATS Kaiqing Zhang, Zhuoran Yang, Zhaoran Wang
2018	J	`jnl`	Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error Reduction via Surrogate Policy. CoRR Yuan Xie, Boyi Liu, Qiang Liu, Zhaoran Wang, Yuan Zhou, Jian Peng
2018	J	`jnl`	On Tighter Generalization Bound for Deep Neural Networks: CNNs, ResNets, and Beyond. CoRR Xingguo Li, Junwei Lu, Zhaoran Wang, Jarvis D. Haupt, Tuo Zhao
2018	J	`jnl`	Online ICA: Understanding Global Dynamics of Nonconvex Optimization via Diffusion Processes. CoRR Chris Junchi Li, Zhaoran Wang, Han Liu
2018	A*	`conf`	Provable Gaussian Embedding with One Observation. NeurIPS Ming Yu, Zhuoran Yang, Tuo Zhao, Mladen Kolar, Zhaoran Wang
2018	J	`jnl`	Provable Gaussian Embedding with One Observation. CoRR Ming Yu, Zhuoran Yang, Tuo Zhao, Mladen Kolar, Zhaoran Wang
2018	Misc	`conf`	Symmetry. Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization. ITA Xingguo Li, Jarvis D. Haupt, Junwei Lu, Zhaoran Wang, Raman Arora, Han Liu, Tuo Zhao
2018	A*	`conf`	The Edge Density Barrier: Computational-Statistical Tradeoffs in Combinatorial Inference. ICML Hao Lu, Yuan Cao, Junwei Lu, Han Liu, Zhaoran Wang
2017	—	`conf`	Estimating High-dimensional Non-Gaussian Multiple Index Models via Stein's Lemma. NIPS Zhuoran Yang, Krishnakumar Balasubramanian, Zhaoran Wang, Han Liu
2017	J	`jnl`	Misspecified Nonconvex Statistical Optimization for Phase Retrieval. CoRR Zhuoran Yang, Lin F. Yang, Ethan X. Fang, Tuo Zhao, Zhaoran Wang, Matey Neykov
2016	A*	`conf`	A Truth Discovery Approach with Theoretical Guarantee. KDD Houping Xiao, Jing Gao, Zhaoran Wang, Shiyu Wang, Lu Su, Han Liu
2016	—	`conf`	Agnostic Estimation for Misspecified Phase Retrieval Models. NIPS Matey Neykov, Zhaoran Wang, Han Liu
2016	—	`conf`	Blind Attacks on Machine Learners. NIPS Alex Beatson, Zhaoran Wang, Han Liu
2016	A	`conf`	Low-Rank and Sparse Structure Pursuit via Alternating Minimization. AISTATS Quanquan Gu, Zhaoran Wang, Han Liu
2016	—	`conf`	More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning. NIPS Xinyang Yi, Zhaoran Wang, Zhuoran Yang, Constantine Caramanis, Han Liu
2016	—	`conf`	NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization. NIPS Davood Hajinezhad, Mingyi Hong, Tuo Zhao, Zhaoran Wang
2016	J	`jnl`	NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization. CoRR Davood Hajinezhad, Mingyi Hong, Tuo Zhao, Zhaoran Wang
2016	A*	`conf`	On the Statistical Limits of Convex Relaxations. ICML Zhaoran Wang, Quanquan Gu, Han Liu
2016	—	`conf`	Online ICA: Understanding Global Dynamics of Nonconvex Optimization via Diffusion Processes. NIPS Chris Junchi Li, Zhaoran Wang, Han Liu
2016	A*	`conf`	Sparse Nonlinear Regression: Parameter Estimation under Nonconvexity. ICML Zhuoran Yang, Zhaoran Wang, Han Liu, Yonina C. Eldar, Tong Zhang
2016	J	`jnl`	Symmetry, Saddle Points, and Global Geometry of Nonconvex Matrix Factorization. CoRR Xingguo Li, Zhaoran Wang, Junwei Lu, Raman Arora, Jarvis D. Haupt, Han Liu, Tuo Zhao
2015	—	`conf`	A Nonconvex Optimization Framework for Low Rank Matrix Estimation. NIPS Tuo Zhao, Zhaoran Wang, Han Liu
2015	—	`conf`	High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality. NIPS Zhaoran Wang, Quanquan Gu, Yang Ning, Han Liu
2015	—	`conf`	Non-convex Statistical Optimization for Sparse Tensor Graphical Model. NIPS Wei Sun, Zhaoran Wang, Han Liu, Guang Cheng
2015	—	`conf`	Optimal Linear Estimation under Unknown Nonlinear Transform. NIPS Xinyang Yi, Zhaoran Wang, Constantine Caramanis, Han Liu
2015	J	`jnl`	Optimal linear estimation under unknown nonlinear transform. CoRR Xinyang Yi, Zhaoran Wang, Constantine Caramanis, Han Liu
2015	J	`jnl`	Sparse Nonlinear Regression: Parameter Estimation and Asymptotic Inference. CoRR Zhuoran Yang, Zhaoran Wang, Han Liu, Yonina C. Eldar, Tong Zhang
2014	J	`jnl`	A Strictly Contractive Peaceman-Rachford Splitting Method for Convex Programming. SIAM J. Optim. Bingsheng He, Han Liu, Zhaoran Wang, Xiaoming Yuan
2014	J	`jnl`	Nonconvex Statistical Optimization: Minimax-Optimal Sparse PCA in Polynomial Time. CoRR Zhaoran Wang, Huanran Lu, Han Liu
2014	—	`conf`	Sparse PCA with Oracle Property. NIPS Quanquan Gu, Zhaoran Wang, Han Liu
2014	—	`conf`	Tighten after Relax: Minimax-Optimal Sparse PCA in Polynomial Time. NIPS Zhaoran Wang, Huanran Lu, Han Liu
2013	A	`conf`	Sparse Principal Component Analysis for High Dimensional Multivariate Time Series. AISTATS Zhaoran Wang, Fang Han, Han Liu