Zhaoran Wang

According to our database, Zhaoran Wang authored at least 215 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

False Correlation Reduction for Offline Reinforcement Learning.

Zhihong Deng, Zuyue Fu, Lingxiao Wang, Zhuoran Yang, Chenjia Bai, Tianyi Zhou, Zhaoran Wang, Jing Jiang

IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

Advancing Object Goal Navigation Through LLM-enhanced Object Affinities Transfer.

Mengying Lin, Yaran Chen, Dongbin Zhao, Zhaoran Wang

CoRR, 2024

Can Large Language Models Play Games? A Case Study of A Self-Play Approach.

Hongyi Guo, Zhihan Liu, Yufeng Zhang, Zhaoran Wang

CoRR, 2024

How Can LLM Guide RL? A Value-Based Approach.

Shenao Zhang, Sirui Zheng, Shuqi Ke, Zhihan Liu, Wanxin Jin, Jianbo Yuan, Yingxiang Yang, Hongxia Yang, Zhaoran Wang

CoRR, 2024

Double Duality: Variational Primal-Dual Policy Optimization for Constrained Reinforcement Learning.

Zihao Li, Boyi Liu, Zhuoran Yang, Zhaoran Wang, Mengdi Wang

CoRR, 2024

Human-Instruction-Free LLM Self-Alignment with Limited Samples.

Hongyi Guo, Yuanshun Yao, Wei Shen, Jiaheng Wei, Xiaoying Zhang, Zhaoran Wang, Yang Liu

CoRR, 2024

2023

Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning.

Chenjia Bai, Peng Liu, Kaiyu Liu, Lingxiao Wang, Yingnan Zhao, Lei Han, Zhaoran Wang

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Provably Efficient Reinforcement Learning with Linear Function Approximation.

Chi Jin, Zhuoran Yang, Zhaoran Wang, Michael I. Jordan

Math. Oper. Res., August, 2023

A Two-Timescale Stochastic Algorithm Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic.

Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang

SIAM J. Optim., March, 2023

Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium.

Qiaomin Xie, Yudong Chen, Zhaoran Wang, Zhuoran Yang

Math. Oper. Res., February, 2023

Addressing Hindsight Bias in Multigoal Reinforcement Learning.

Chenjia Bai, Lingxiao Wang, Yixin Wang, Zhaoran Wang, Rui Zhao, Chenyao Bai, Peng Liu

IEEE Trans. Cybern., 2023

Can Reinforcement Learning Find Stackelberg-Nash Equilibria in General-Sum Markov Games with Myopically Rational Followers?

Han Zhong, Zhuoran Yang, Zhaoran Wang, Michael I. Jordan

J. Mach. Learn. Res., 2023

Empowering Autonomous Driving with Large Language Models: A Safety Perspective.

Yixuan Wang, Ruochen Jiao, Chengtian Lang, Simon Sinong Zhan, Chao Huang, Zhaoran Wang, Zhuoran Yang, Qi Zhu

CoRR, 2023

Provably Efficient High-Dimensional Bandit Learning with Batched Feedbacks.

Jianqing Fan, Zhaoran Wang, Zhuoran Yang, Chenlu Ye

CoRR, 2023

A Principled Framework for Knowledge-enhanced Large Language Model.

Saizhuo Wang, Zhihan Liu, Zhaoran Wang, Jian Guo

CoRR, 2023

Posterior Sampling for Competitive RL: Function Approximation and Partial Observation.

Shuang Qiu, Ziyu Dai, Han Zhong, Zhaoran Wang, Zhuoran Yang, Tong Zhang

CoRR, 2023

Learning Regularized Graphon Mean-Field Games with Unknown Graphons.

Fengzhuo Zhang, Vincent Y. F. Tan, Zhaoran Wang, Zhuoran Yang

CoRR, 2023

Let Models Speak Ciphers: Multiagent Debate through Embeddings.

Chau Pham, Boyi Liu, Yingxiang Yang, Zhengyu Chen, Tianyi Liu, Jianbo Yuan, Bryan A. Plummer, Zhaoran Wang, Hongxia Yang

CoRR, 2023

Sample-Efficient Multi-Agent RL: An Optimization Perspective.

Nuoya Xiong, Zhihan Liu, Zhaoran Wang, Zhuoran Yang

CoRR, 2023

Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample Efficiency.

Zhihan Liu, Hao Hu, Shenao Zhang, Hongyi Guo, Shuqi Ke, Boyi Liu, Zhaoran Wang

CoRR, 2023

Contextual Dynamic Pricing with Strategic Buyers.

Pangpang Liu, Zhuoran Yang, Zhaoran Wang, Will Wei Sun

CoRR, 2023

A General Framework for Sequential Decision-Making under Adaptivity Constraints.

Nuoya Xiong, Zhaoran Wang, Zhuoran Yang

CoRR, 2023

What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization.

Yufeng Zhang, Fengzhuo Zhang, Zhuoran Yang, Zhaoran Wang

CoRR, 2023

One Objective to Rule Them All: A Maximization Objective Fusing Estimation and Planning for Exploration.

Zhihan Liu, Miao Lu, Wei Xiong, Han Zhong, Hao Hu, Shenao Zhang, Sirui Zheng, Zhuoran Yang, Zhaoran Wang

CoRR, 2023

Dynamic Datasets and Market Environments for Financial Reinforcement Learning.

Xiao-Yang Liu, Ziyi Xia, Hongyang Yang, Jiechao Gao, Daochen Zha, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo

CoRR, 2023

Wardrop Equilibrium Can Be Boundedly Rational: A New Behavioral Theory of Route Choice.

Jiayang Li, Zhaoran Wang, Yu Marco Nie

CoRR, 2023

A Unified Framework of Policy Learning for Contextual Bandit with Confounding Bias and Missing Observations.

Siyu Chen, Yitan Wang, Zhaoran Wang, Zhuoran Yang

CoRR, 2023

Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models with Reinforcement Learning.

Ruitu Xu, Yifei Min, Tianhao Wang, Zhaoran Wang, Michael I. Jordan, Zhuoran Yang

CoRR, 2023

Achieving Hierarchy-Free Approximation for Bilevel Programs With Equilibrium Constraints.

Jiayang Li, Jing Yu, Boyi Liu, Zhaoran Wang, Yu Marco Nie

CoRR, 2023

Learning Regularized Monotone Graphon Mean-Field Games.

Fengzhuo Zhang, Vincent Y. F. Tan, Zhaoran Wang, Zhuoran Yang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms.

Shenao Zhang, Boyi Liu, Zhaoran Wang, Tuo Zhao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Posterior Sampling for Competitive RL: Function Approximation and Partial Observation.

Shuang Qiu, Ziyu Dai, Han Zhong, Zhaoran Wang, Zhuoran Yang, Tong Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration.

Zhihan Liu, Miao Lu, Wei Xiong, Han Zhong, Hao Hu, Shenao Zhang, Sirui Zheng, Zhuoran Yang, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning.

Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic

Proceedings of the Learning for Dynamics and Control Conference, 2023

Adaptive Barrier Smoothing for First-Order Policy Gradient with Contact Dynamics.

Shenao Zhang, Wanxin Jin, Zhaoran Wang

Proceedings of the International Conference on Machine Learning, 2023

Achieving Hierarchy-Free Approximation for Bilevel Programs with Equilibrium Constraints.

Jiayang Li, Jing Yu, Boyi Liu, Yu Nie, Zhaoran Wang

Proceedings of the International Conference on Machine Learning, 2023

Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning.

Yulai Zhao, Zhuoran Yang, Zhaoran Wang, Jason D. Lee

Proceedings of the International Conference on Machine Learning, 2023

Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments.

Yixuan Wang, Simon Sinong Zhan, Ruochen Jiao, Zhilu Wang, Wanxin Jin, Zhuoran Yang, Zhaoran Wang, Chao Huang, Qi Zhu

Proceedings of the International Conference on Machine Learning, 2023

Optimistic Exploration with Learned Features Provably Solves Markov Decision Processes with Neural Dynamics.

Sirui Zheng, Lingxiao Wang, Shuang Qiu, Zuyue Fu, Zhuoran Yang, Csaba Szepesvári, Zhaoran Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization.

Haoran Xu, Li Jiang, Jianxiong Li, Zhuoran Yang, Zhaoran Wang, Wai Kin Victor Chan, Xianyuan Zhan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Latent Variable Representation for Reinforcement Learning.

Tongzheng Ren, Chenjun Xiao, Tianjun Zhang, Na Li, Zhaoran Wang, Sujay Sanghavi, Dale Schuurmans, Bo Dai

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes.

Miao Lu, Yifei Min, Zhaoran Wang, Zhuoran Yang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Represent to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency.

Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Joint Differentiable Optimization and Verification for Certified Reinforcement Learning.

Yixuan Wang, Simon Sinong Zhan, Zhilu Wang, Chao Huang, Zhaoran Wang, Zhuoran Yang, Qi Zhu

Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems, 2023

Differentiable Arbitrating in Zero-sum Markov Games.

Jing Wang, Meichen Song, Feng Gao, Boyi Liu, Zhaoran Wang, Yi Wu

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models via Reinforcement Learning.

Ruitu Xu, Yifei Min, Tianhao Wang, Michael I. Jordan, Zhaoran Wang, Zhuoran Yang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models.

Yufeng Zhang, Boyi Liu, Qi Cai, Lingxiao Wang, Zhaoran Wang

CoRR, 2022

Offline Policy Optimization in RL with Variance Regularizaton.

Riashat Islam, Samarth Sinha, Homanga Bharadhwaj, Samin Yeasar Arnob, Zhuoran Yang, Animesh Garg, Zhaoran Wang, Lihong Li, Doina Precup

CoRR, 2022

Offline Reinforcement Learning for Human-Guided Human-Machine Interaction with Private Information.

Zuyue Fu, Zhengling Qi, Zhuoran Yang, Zhaoran Wang, Lan Wang

CoRR, 2022

Policy learning "without" overlap: Pessimism and generalized empirical Bernstein's inequality.

Ying Jin, Zhimei Ren, Zhuoran Yang, Zhaoran Wang

CoRR, 2022

GEC: A Unified Framework for Interactive Decision Making in MDP, POMDP, and Beyond.

Han Zhong, Wei Xiong, Sirui Zheng, Liwei Wang, Zhaoran Wang, Zhuoran Yang, Tong Zhang

CoRR, 2022

A Reinforcement Learning Approach in Multi-Phase Second-Price Auction Design.

Rui Ai, Boxiang Lyu, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan

CoRR, 2022

Offline Reinforcement Learning with Instrumental Variables in Confounded Markov Decision Processes.

Zuyue Fu, Zhengling Qi, Zhaoran Wang, Zhuoran Yang, Yanxun Xu, Michael R. Kosorok

CoRR, 2022

Differentiable Bilevel Programming for Stackelberg Congestion Games.

Jiayang Li, Jing Yu, Qianni Wang, Boyi Liu, Zhaoran Wang, Yu Marco Nie

CoRR, 2022

Federated Offline Reinforcement Learning.

Doudou Zhou, Yufeng Zhang, Aaron Sonabend W., Zhaoran Wang, Junwei Lu, Tianxi Cai

CoRR, 2022

Embed to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency.

Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang

CoRR, 2022

Sample-Efficient Reinforcement Learning for POMDPs with Linear Function Approximations.

Qi Cai, Zhuoran Yang, Zhaoran Wang

CoRR, 2022

Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach.

Boxiang Lyu, Qinglin Meng, Shuang Qiu, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan

CoRR, 2022

Joint Differentiable Optimization and Verification for Certified Reinforcement Learning.

Yixuan Wang, Chao Huang, Zhaoran Wang, Zhuoran Yang, Qi Zhu

CoRR, 2022

Sequential Information Design: Markov Persuasion Process and Its Efficient Reinforcement Learning.

Jibang Wu, Zixuan Zhang, Zhe Feng, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan, Haifeng Xu

Proceedings of the EC '22: The 23rd ACM Conference on Economics and Computation, Boulder, CO, USA, July 11, 2022

Accelerate online reinforcement learning for building HVAC control with heterogeneous expert guidances.

Shichao Xu, Yangyang Fu, Yixuan Wang, Zhuoran Yang, Zheng O'Neill, Zhaoran Wang, Qi Zhu

Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, 2022

Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL.

Fengzhuo Zhang, Boyi Liu, Kaixin Wang, Vincent Y. F. Tan, Zhuoran Yang, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

RORL: Robust Offline Reinforcement Learning via Conservative Smoothing.

Rui Yang, Chenjia Bai, Xiaoteng Ma, Zhaoran Wang, Chongjie Zhang, Lei Han

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Unifying Framework of Off-Policy General Value Function Evaluation.

Tengyu Xu, Zhuoran Yang, Zhaoran Wang, Yingbin Liang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets.

Yifei Min, Tianhao Wang, Ruitu Xu, Zhaoran Wang, Michael I. Jordan, Zhuoran Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning.

Xiao-Yang Liu, Ziyi Xia, Jingyang Rui, Jiechao Gao, Hongyang Yang, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence.

Boyi Liu, Jiayang Li, Zhuoran Yang, Hoi-To Wai, Mingyi Hong, Yu Nie, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Exponential Family Model-Based Reinforcement Learning via Score Matching.

Gene Li, Junbo Li, Anmol Kabra, Nati Srebro, Zhaoran Wang, Zhuoran Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets.

Han Zhong, Wei Xiong, Jiyuan Tan, Liwei Wang, Tong Zhang, Zhaoran Wang, Zhuoran Yang

Proceedings of the International Conference on Machine Learning, 2022

Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning.

Shuang Qiu, Lingxiao Wang, Chenjia Bai, Zhuoran Yang, Zhaoran Wang

Proceedings of the International Conference on Machine Learning, 2022

Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning.

Boxiang Lyu, Zhaoran Wang, Mladen Kolar, Zhuoran Yang

Proceedings of the International Conference on Machine Learning, 2022

Learning from Demonstration: Provably Efficient Adversarial Policy Imitation with Linear Function Approximation.

Zhihan Liu, Yufeng Zhang, Zuyue Fu, Zhuoran Yang, Zhaoran Wang

Proceedings of the International Conference on Machine Learning, 2022

Welfare Maximization in Competitive Equilibrium: Reinforcement Learning for Markov Exchange Economy.

Zhihan Liu, Miao Lu, Zhaoran Wang, Michael I. Jordan, Zhuoran Yang

Proceedings of the International Conference on Machine Learning, 2022

Provably Efficient Offline Reinforcement Learning for Partially Observable Markov Decision Processes.

Hongyi Guo, Qi Cai, Yufeng Zhang, Zhuoran Yang, Zhaoran Wang

Proceedings of the International Conference on Machine Learning, 2022

Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation.

Xiaoyu Chen, Han Zhong, Zhuoran Yang, Zhaoran Wang, Liwei Wang

Proceedings of the International Conference on Machine Learning, 2022

Adaptive Model Design for Markov Decision Process.

Siyu Chen, Donglin Yang, Jiayang Li, Senmiao Wang, Zhuoran Yang, Zhaoran Wang

Proceedings of the International Conference on Machine Learning, 2022

Reinforcement Learning from Partial Observation: Linear Function Approximation with Provable Sample Efficiency.

Qi Cai, Zhuoran Yang, Zhaoran Wang

Proceedings of the International Conference on Machine Learning, 2022

Towards General Function Approximation in Zero-Sum Markov Games.

Baihe Huang, Jason D. Lee, Zhaoran Wang, Zhuoran Yang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning.

Chenjia Bai, Lingxiao Wang, Zhuoran Yang, Zhi-Hong Deng, Animesh Garg, Peng Liu, Zhaoran Wang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Design-while-verify: correct-by-construction control learning with verification in the loop.

Yixuan Wang, Chao Huang, Zhaoran Wang, Zhilu Wang, Qi Zhu

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Gap-Dependent Bounds for Two-Player Markov Games.

Zehao Dou, Zhuoran Yang, Zhaoran Wang, Simon S. Du

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Spectrum Truncation Power Iteration for Agnostic Matrix Phase Retrieval.

Lewis Liu, Songtao Lu, Tuo Zhao, Zhaoran Wang

IEEE Trans. Signal Process., 2021

On Finite-Time Convergence of Actor-Critic Algorithm.

Shuang Qiu, Zhuoran Yang, Jieping Ye, Zhaoran Wang

IEEE J. Sel. Areas Inf. Theory, 2021

Exponential Family Model-Based Reinforcement Learning via Score Matching.

Gene Li, Junbo Li, Nathan Srebro, Zhaoran Wang, Zhuoran Yang

CoRR, 2021

Can Reinforcement Learning Find Stackelberg-Nash Equilibria in General-Sum Markov Games with Myopic Followers?

Han Zhong, Zhuoran Yang, Zhaoran Wang, Michael I. Jordan

CoRR, 2021

FinRL-Meta: A Universe of Near-Real Market Environments for Data-Driven Deep Reinforcement Learning in Quantitative Finance.

Xiao-Yang Liu, Jingyang Rui, Jiechao Gao, Liuqing Yang, Hongyang Yang, Zhaoran Wang, Christina Dan Wang, Jian Guo

CoRR, 2021

ElegantRL-Podracer: Scalable and Elastic Library for Cloud-Native Deep Reinforcement Learning.

Xiao-Yang Liu, Zechu Li, Zhuoran Yang, Jiahao Zheng, Zhaoran Wang, Anwar Walid, Jian Guo, Michael I. Jordan

CoRR, 2021

SCORE: Spurious COrrelation REduction for Offline Reinforcement Learning.

Zhihong Deng, Zuyue Fu, Lingxiao Wang, Zhuoran Yang, Chenjia Bai, Zhaoran Wang, Jing Jiang

CoRR, 2021

Optimistic Policy Optimization is Provably Efficient in Non-stationary MDPs.

Han Zhong, Zhuoran Yang, Zhaoran Wang, Csaba Szepesvári

CoRR, 2021

Inducing Equilibria via Incentives: Simultaneous Design-and-Play Finds Global Optima.

Boyi Liu, Jiayang Li, Zhuoran Yang, Hoi-To Wai, Mingyi Hong, Yu Marco Nie, Zhaoran Wang

CoRR, 2021

Provably Efficient Generative Adversarial Imitation Learning for Online and Offline Setting with Linear Function Approximation.

Zhihan Liu, Yufeng Zhang, Zuyue Fu, Zhuoran Yang, Zhaoran Wang

CoRR, 2021

Online Bootstrap Inference For Policy Evaluation in Reinforcement Learning.

Pratik Ramprasad, Yuantong Li, Zhuoran Yang, Zhaoran Wang, Will Wei Sun, Guang Cheng

CoRR, 2021

A Unified Off-Policy Evaluation Approach for General Value Function.

Tengyu Xu, Zhuoran Yang, Zhaoran Wang, Yingbin Liang

CoRR, 2021

Randomized Exploration for Reinforcement Learning with General Value Function Approximation.

Haque Ishfaq, Qiwen Cui, Viet Nguyen, Alex Ayoub, Zhuoran Yang, Zhaoran Wang, Doina Precup, Lin F. Yang

CoRR, 2021

Verification in the Loop: Correct-by-Construction Control Learning with Reach-avoid Guarantees.

Yixuan Wang, Chao Huang, Zhaoran Wang, Zhilu Wang, Qi Zhu

CoRR, 2021

Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach.

Yan Li, Lingxiao Wang, Jiachen Yang, Ethan Wang, Zhaoran Wang, Tuo Zhao, Hongyuan Zha

CoRR, 2021

Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning.

Luofeng Liao, Zuyue Fu, Zhuoran Yang, Mladen Kolar, Zhaoran Wang

CoRR, 2021

A Momentum-Assisted Single-Timescale Stochastic Approximation Algorithm for Bilevel Optimization.

Prashant Khanduri, Siliang Zeng, Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang

CoRR, 2021

Wasserstein Flow Meets Replicator Dynamics: A Mean-Field Analysis of Representation Learning in Actor-Critic.

Yufeng Zhang, Siyu Chen, Zhuoran Yang, Michael I. Jordan, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Offline Constrained Multi-Objective Reinforcement Learning via Pessimistic Dual Value Iteration.

Runzhe Wu, Yufeng Zhang, Zhuoran Yang, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Provably Efficient Causal Reinforcement Learning with Confounded Observational Data.

Lingxiao Wang, Zhuoran Yang, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

BooVI: Provably Efficient Bootstrapped Value Iteration.

Boyi Liu, Qi Cai, Zhuoran Yang, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum.

Prashant Khanduri, Siliang Zeng, Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning.

Yingjie Fei, Zhuoran Yang, Yudong Chen, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL.

Minshuo Chen, Yan Li, Ethan Wang, Zhuoran Yang, Zhaoran Wang, Tuo Zhao

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Dynamic Bottleneck for Robust Self-Supervised Exploration.

Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Provably Sample Efficient Reinforcement Learning in Competitive Linear Quadratic Systems.

Jingwei Zhang, Zhuoran Yang, Zhengyuan Zhou, Zhaoran Wang

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality.

Tengyu Xu, Zhuoran Yang, Zhaoran Wang, Yingbin Liang

Proceedings of the 38th International Conference on Machine Learning, 2021

Learning While Playing in Mean-Field Games: Convergence and Optimality.

Qiaomin Xie, Zhuoran Yang, Zhaoran Wang, Andreea Minca

Proceedings of the 38th International Conference on Machine Learning, 2021

Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous Time.

Weichen Wang, Jiequn Han, Zhuoran Yang, Zhaoran Wang

Proceedings of the 38th International Conference on Machine Learning, 2021

On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game.

Shuang Qiu, Jieping Ye, Zhaoran Wang, Zhuoran Yang

Proceedings of the 38th International Conference on Machine Learning, 2021

Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions.

Shuang Qiu, Xiaohan Wei, Jieping Ye, Zhaoran Wang, Zhuoran Yang

Proceedings of the 38th International Conference on Machine Learning, 2021

Infinite-Dimensional Optimization for Zero-Sum Games via Variational Transport.

Lewis Liu, Yufeng Zhang, Zhuoran Yang, Reza Babanezhad, Zhaoran Wang

Proceedings of the 38th International Conference on Machine Learning, 2021

Is Pessimism Provably Efficient for Offline RL?

Ying Jin, Zhuoran Yang, Zhaoran Wang

Proceedings of the 38th International Conference on Machine Learning, 2021

Randomized Exploration in Reinforcement Learning with General Value Function Approximation.

Haque Ishfaq, Qiwen Cui, Viet Nguyen, Alex Ayoub, Zhuoran Yang, Zhaoran Wang, Doina Precup, Lin Yang

Proceedings of the 38th International Conference on Machine Learning, 2021

Decentralized Single-Timescale Actor-Critic on Zero-Sum Two-Player Stochastic Games.

Hongyi Guo, Zuyue Fu, Zhuoran Yang, Zhaoran Wang

Proceedings of the 38th International Conference on Machine Learning, 2021

Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach.

Yingjie Fei, Zhuoran Yang, Zhaoran Wang

Proceedings of the 38th International Conference on Machine Learning, 2021

Principled Exploration via Optimistic Bootstrapping and Backward Induction.

Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang

Proceedings of the 38th International Conference on Machine Learning, 2021

Single-Timescale Actor-Critic Provably Finds Globally Optimal Policy.

Zuyue Fu, Zhuoran Yang, Zhaoran Wang

Proceedings of the 9th International Conference on Learning Representations, 2021

FinRL-podracer: high performance and scalable deep reinforcement learning for quantitative finance.

Zechu Li, Xiao-Yang Liu, Jiahao Zheng, Zhaoran Wang, Anwar Walid, Jian Guo

Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

Cocktail: Learn a Better Neural Network Controller from Multiple Experts via Adaptive Mixing and Robust Distillation.

Yixuan Wang, Chao Huang, Zhilu Wang, Shichao Xu, Zhaoran Wang, Qi Zhu

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

Provably Efficient Actor-Critic for Risk-Sensitive and Robust Adversarial RL: A Linear-Quadratic Case.

Yufeng Zhang, Zhuoran Yang, Zhaoran Wang

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Sample Elicitation.

Jiaheng Wei, Zuyue Fu, Yang Liu, Xingyu Li, Zhuoran Yang, Zhaoran Wang

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Provably Efficient Safe Exploration via Primal-Dual Policy Optimization.

Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Tensor Graphical Model: Non-Convex Optimization and Statistical Inference.

Xiang Lyu, Will Wei Sun, Zhaoran Wang, Han Liu, Jian Yang, Guang Cheng

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Agnostic Estimation for Phase Retrieval.

Matey Neykov, Zhaoran Wang, Han Liu

J. Mach. Learn. Res., 2020

Provably Training Neural Network Classifiers under Fairness Constraints.

You-Lin Chen, Zhaoran Wang, Mladen Kolar

CoRR, 2020

Risk-Sensitive Deep RL: Variance-Constrained Actor-Critic Provably Finds Globally Optimal Policy.

Han Zhong, Ethan X. Fang, Zhuoran Yang, Zhaoran Wang

CoRR, 2020

Variational Transport: A Convergent Particle-BasedAlgorithm for Distributional Optimization.

Zhuoran Yang, Yufeng Zhang, Yongxin Chen, Zhaoran Wang

CoRR, 2020

Bridging Exploration and General Function Approximation in Reinforcement Learning: Provably Efficient Kernel and Neural Value Iterations.

Zhuoran Yang, Chi Jin, Zhaoran Wang, Mengdi Wang, Michael I. Jordan

CoRR, 2020

Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning.

Chenjia Bai, Peng Liu, Zhaoran Wang, Kaiyu Liu, Lingxiao Wang, Yingnan Zhao

CoRR, 2020

Provable Fictitious Play for General Mean-Field Games.

Qiaomin Xie, Zhuoran Yang, Zhaoran Wang, Andreea Minca

CoRR, 2020

Nearly Dimension-Independent Sparse Linear Bandit over Small Action Spaces via Best Subset Selection.

Yining Wang, Yi Chen, Ethan X. Fang, Zhaoran Wang, Runze Li

CoRR, 2020

Single-Timescale Stochastic Nonconvex-Concave Optimization for Smooth Nonlinear TD Learning.

Shuang Qiu, Zhuoran Yang, Xiaohan Wei, Jieping Ye, Zhaoran Wang

CoRR, 2020

A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic.

Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang

CoRR, 2020

Provably Efficient Neural Estimation of Structural Equation Model: An Adversarial Approach.

Luofeng Liao, You-Lin Chen, Zhuoran Yang, Bo Dai, Zhaoran Wang, Mladen Kolar

CoRR, 2020

Neural Certificates for Safe Control Policies.

Wanxin Jin, Zhaoran Wang, Zhuoran Yang, Shaoshuai Mou

CoRR, 2020

Deep Reinforcement Learning with Smooth Policy.

Qianli Shen, Yan Li, Haoming Jiang, Zhaoran Wang, Tuo Zhao

CoRR, 2020

Generative Adversarial Imitation Learning with Neural Networks: Global Optimality and Convergence Rate.

Yufeng Zhang, Qi Cai, Zhuoran Yang, Zhaoran Wang

CoRR, 2020

Upper Confidence Primal-Dual Optimization: Stochastically Constrained Markov Decision Processes with Adversarial Losses and Unknown Transitions.

Shuang Qiu, Xiaohan Wei, Zhuoran Yang, Jieping Ye, Zhaoran Wang

CoRR, 2020

Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory.

Yufeng Zhang, Qi Cai, Zhuoran Yang, Yongxin Chen, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Provably Efficient Reinforcement Learning with Kernel and Neural Function Approximations.

Zhuoran Yang, Chi Jin, Zhaoran Wang, Mengdi Wang, Michael I. Jordan

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Provably Efficient Neural GTD for Off-Policy Learning.

Hoi-To Wai, Zhuoran Yang, Zhaoran Wang, Mingyi Hong

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss.

Shuang Qiu, Xiaohan Wei, Zhuoran Yang, Jieping Ye, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial Approach.

Luofeng Liao, You-Lin Chen, Zhuoran Yang, Bo Dai, Mladen Kolar, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

End-to-End Learning and Intervention in Games.

Jiayang Li, Jing Yu, Yu Marco Nie, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework.

Wanxin Jin, Zhaoran Wang, Zhuoran Yang, Shaoshuai Mou

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Dynamic Regret of Policy Optimization in Non-Stationary Environments.

Yingjie Fei, Zhuoran Yang, Zhaoran Wang, Qiaomin Xie

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret.

Yingjie Fei, Zhuoran Yang, Yudong Chen, Zhaoran Wang, Qiaomin Xie

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Theoretical Analysis of Deep Q-Learning.

Jianqing Fan, Zhaoran Wang, Yuchen Xie, Zhuoran Yang

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Generative Adversarial Imitation Learning with Neural Network Parameterization: Global Optimality and Convergence Rate.

Yufeng Zhang, Qi Cai, Zhuoran Yang, Zhaoran Wang

Proceedings of the 37th International Conference on Machine Learning, 2020

Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning.

Lingxiao Wang, Zhuoran Yang, Zhaoran Wang

Proceedings of the 37th International Conference on Machine Learning, 2020

On the Global Optimality of Model-Agnostic Meta-Learning.

Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang

Proceedings of the 37th International Conference on Machine Learning, 2020

Deep Reinforcement Learning with Robust and Smooth Policy.

Qianli Shen, Yan Li, Haoming Jiang, Zhaoran Wang, Tuo Zhao

Proceedings of the 37th International Conference on Machine Learning, 2020

Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees.

Sen Na, Yuwei Luo, Zhuoran Yang, Zhaoran Wang, Mladen Kolar

Proceedings of the 37th International Conference on Machine Learning, 2020

Computational and Statistical Tradeoffs in Inferring Combinatorial Structures of Ising Model.

Ying Jin, Zhaoran Wang, Junwei Lu

Proceedings of the 37th International Conference on Machine Learning, 2020

Provably Efficient Exploration in Policy Optimization.

Qi Cai, Zhuoran Yang, Chi Jin, Zhaoran Wang

Proceedings of the 37th International Conference on Machine Learning, 2020

Neural Policy Gradient Methods: Global Optimality and Rates of Convergence.

Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang

Proceedings of the 8th International Conference on Learning Representations, 2020

Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games.

Zuyue Fu, Zhuoran Yang, Yongxin Chen, Zhaoran Wang

Proceedings of the 8th International Conference on Learning Representations, 2020

On Computation and Generalization of Generative Adversarial Imitation Learning.

Minshuo Chen, Yizhou Wang, Tianyi Liu, Zhuoran Yang, Xingguo Li, Zhaoran Wang, Tuo Zhao

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization.

Xingguo Li, Junwei Lu, Raman Arora, Jarvis D. Haupt, Han Liu, Zhaoran Wang, Tuo Zhao

IEEE Trans. Inf. Theory, 2019

Misspecified nonconvex statistical optimization for sparse phase retrieval.

Zhuoran Yang, Lin F. Yang, Ethan X. Fang, Tuo Zhao, Zhaoran Wang, Matey Neykov

Math. Program., 2019

High-dimensional Varying Index Coefficient Models via Stein's Identity.

Sen Na, Zhuoran Yang, Zhaoran Wang, Mladen Kolar

J. Mach. Learn. Res., 2019

Natural Actor-Critic Converges Globally for Hierarchical Linear Quadratic Regulator.

Yuwei Luo, Zhuoran Yang, Zhaoran Wang, Mladen Kolar

CoRR, 2019

Credible Sample Elicitation by Deep Learning, for Deep Learning.

Yang Liu, Zuyue Fu, Zhuoran Yang, Zhaoran Wang

CoRR, 2019

Fast Multi-Agent Temporal-Difference Learning via Homotopy Stochastic Primal-Dual Optimization.

Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic

CoRR, 2019

On the Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost.

Zhuoran Yang, Yongxin Chen, Mingyi Hong, Zhaoran Wang

CoRR, 2019

Neural Proximal/Trust Region Policy Optimization Attains Globally Optimal Policy.

Boyi Liu, Qi Cai, Zhuoran Yang, Zhaoran Wang

CoRR, 2019

A Multi-Agent Off-Policy Actor-Critic Algorithm for Distributed Reinforcement Learning.

Wesley Suttle, Zhuoran Yang, Kaiqing Zhang, Zhaoran Wang, Tamer Basar, Ji Liu

CoRR, 2019

On the Global Convergence of Imitation Learning: A Case for Linear Quadratic Regulator.

Qi Cai, Mingyi Hong, Yongxin Chen, Zhaoran Wang

CoRR, 2019

A Theoretical Analysis of Deep Q-Learning.

Zhuoran Yang, Yuchen Xie, Zhaoran Wang

CoRR, 2019

Convergent Policy Optimization for Safe Reinforcement Learning.

Ming Yu, Zhuoran Yang, Mladen Kolar, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Provably Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost.

Zhuoran Yang, Yongxin Chen, Mingyi Hong, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Statistical-Computational Tradeoff in Single Index Models.

Lingxiao Wang, Zhuoran Yang, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Variance Reduced Policy Evaluation with Smooth Function Approximation.

Hoi-To Wai, Mingyi Hong, Zhuoran Yang, Zhaoran Wang, Kexin Tang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Neural Trust Region/Proximal Policy Optimization Attains Globally Optimal Policy.

Boyi Liu, Qi Cai, Zhuoran Yang, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Neural Temporal-Difference Learning Converges to Global Optima.

Qi Cai, Zhuoran Yang, Jason D. Lee, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

On the statistical rate of nonlinear recovery in generative models with heavy-tailed data.

Xiaohan Wei, Zhuoran Yang, Zhaoran Wang

Proceedings of the 36th International Conference on Machine Learning, 2019

Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error Reduction via Surrogate Policy.

Yuan Xie, Boyi Liu, Qiang Liu, Zhaoran Wang, Yuan Zhou, Jian Peng

Proceedings of the 7th International Conference on Learning Representations, 2019

Accelerating Nonconvex Learning via Replica Exchange Langevin diffusion.

Yi Chen, Jinglin Chen, Jing Dong, Jian Peng, Zhaoran Wang

Proceedings of the 7th International Conference on Learning Representations, 2019

Learning Partially Observable Markov Decision Processes Using Coupled Canonical Polyadic Decomposition.

Kejun Huang, Zhuoran Yang, Zhaoran Wang, Mingyi Hong

Proceedings of the IEEE Data Science Workshop, 2019

A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning.

Yixuan Lin, Kaiqing Zhang, Zhuoran Yang, Zhaoran Wang, Tamer Basar, Romeil Sandhu, Ji Liu

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

A convex formulation for high-dimensional sparse sliced inverse regression.

Kean Ming Tan, Zhaoran Wang, Tong Zhang, Han Liu, R. Dennis Cook

CoRR, 2018

Curse of Heterogeneity: Computational Barriers in Sparse Mixture Models and Phase Retrieval.

Jianqing Fan, Han Liu, Zhaoran Wang, Zhuoran Yang

CoRR, 2018

On Tighter Generalization Bound for Deep Neural Networks: CNNs, ResNets, and Beyond.

Xingguo Li, Junwei Lu, Zhaoran Wang, Jarvis D. Haupt, Tuo Zhao

CoRR, 2018

Detecting Nonlinear Causality in Multivariate Time Series with Sparse Additive Models.

Yingxiang Yang, Adams Wei Yu, Zhaoran Wang, Tuo Zhao

CoRR, 2018

Provable Gaussian Embedding with One Observation.

Ming Yu, Zhuoran Yang, Tuo Zhao, Mladen Kolar, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization.

Hoi-To Wai, Zhuoran Yang, Zhaoran Wang, Mingyi Hong

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Contrastive Learning from Pairwise Measurements.

Yi Chen, Zhuoran Yang, Yuchen Xie, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

The Edge Density Barrier: Computational-Statistical Tradeoffs in Combinatorial Inference.

Hao Lu, Yuan Cao, Junwei Lu, Han Liu, Zhaoran Wang

Proceedings of the 35th International Conference on Machine Learning, 2018

Dynamic Truth Discovery on Numerical Data.

Shi Zhi, Fan Yang, Zheyi Zhu, Qi Li, Zhaoran Wang, Jiawei Han

Proceedings of the IEEE International Conference on Data Mining, 2018

Nonlinear Structured Signal Estimation in High Dimensions via Iterative Hard Thresholding.

Kaiqing Zhang, Zhuoran Yang, Zhaoran Wang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Minimax-Optimal Privacy-Preserving Sparse PCA in Distributed Systems.

Jason Ge, Zhaoran Wang, Mengdi Wang, Han Liu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Misspecified Nonconvex Statistical Optimization for Phase Retrieval.

Zhuoran Yang, Lin F. Yang, Ethan X. Fang, Tuo Zhao, Zhaoran Wang, Matey Neykov

CoRR, 2017

Estimating High-dimensional Non-Gaussian Multiple Index Models via Stein's Lemma.

Zhuoran Yang, Krishnakumar Balasubramanian, Zhaoran Wang, Han Liu

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Symmetry, Saddle Points, and Global Geometry of Nonconvex Matrix Factorization.

Xingguo Li, Zhaoran Wang, Junwei Lu, Raman Arora, Jarvis D. Haupt, Han Liu, Tuo Zhao

CoRR, 2016

More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning.

Xinyang Yi, Zhaoran Wang, Zhuoran Yang, Constantine Caramanis, Han Liu

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Agnostic Estimation for Misspecified Phase Retrieval Models.

Matey Neykov, Zhaoran Wang, Han Liu

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Online ICA: Understanding Global Dynamics of Nonconvex Optimization via Diffusion Processes.

Chris Junchi Li, Zhaoran Wang, Han Liu

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization.

Davood Hajinezhad, Mingyi Hong, Tuo Zhao, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Blind Attacks on Machine Learners.

Alex Beatson, Zhaoran Wang, Han Liu

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

A Truth Discovery Approach with Theoretical Guarantee.

Houping Xiao, Jing Gao, Zhaoran Wang, Shiyu Wang, Lu Su, Han Liu

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Sparse Nonlinear Regression: Parameter Estimation under Nonconvexity.

Zhuoran Yang, Zhaoran Wang, Han Liu, Yonina C. Eldar, Tong Zhang

Proceedings of the 33nd International Conference on Machine Learning, 2016

On the Statistical Limits of Convex Relaxations.

Zhaoran Wang, Quanquan Gu, Han Liu

Proceedings of the 33nd International Conference on Machine Learning, 2016

Low-Rank and Sparse Structure Pursuit via Alternating Minimization.

Quanquan Gu, Zhaoran Wang, Han Liu

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Sparse Nonlinear Regression: Parameter Estimation and Asymptotic Inference.

Zhuoran Yang, Zhaoran Wang, Han Liu, Yonina C. Eldar, Tong Zhang

CoRR, 2015

A Nonconvex Optimization Framework for Low Rank Matrix Estimation.

Tuo Zhao, Zhaoran Wang, Han Liu

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Optimal Linear Estimation under Unknown Nonlinear Transform.

Xinyang Yi, Zhaoran Wang, Constantine Caramanis, Han Liu

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality.

Zhaoran Wang, Quanquan Gu, Yang Ning, Han Liu

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Non-convex Statistical Optimization for Sparse Tensor Graphical Model.

Wei Sun, Zhaoran Wang, Han Liu, Guang Cheng

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

A Strictly Contractive Peaceman-Rachford Splitting Method for Convex Programming.

Bingsheng He, Han Liu, Zhaoran Wang, Xiaoming Yuan

SIAM J. Optim., 2014

Nonconvex Statistical Optimization: Minimax-Optimal Sparse PCA in Polynomial Time.

Zhaoran Wang, Huanran Lu, Han Liu

CoRR, 2014

Tighten after Relax: Minimax-Optimal Sparse PCA in Polynomial Time.

Zhaoran Wang, Huanran Lu, Han Liu

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Sparse PCA with Oracle Property.

Quanquan Gu, Zhaoran Wang, Han Liu

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Sparse Principal Component Analysis for High Dimensional Multivariate Time Series.

Zhaoran Wang, Fang Han, Han Liu

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013