Zhengyuan Zhou
- Learning in games with continuous action sets and unknown payoff functions
2018/03/12 by Panayotis Mertikopoulos, Zhengyuan Zhou · 19 citations
Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Reinforcement Learning in Robotics #Game Theory and Applications
- Simple Agent, Complex Environment: Efficient Reinforcement Learning with Agent States
2021/02/10 by Shi Dong, Benjamin Van Roy, Dong, Shi +3 · 5 citations
Computer Science · #Multi-Agent Systems and Negotiation
- Doubly Optimal No-Regret Online Learning in Strongly Monotone Games with Bandit Feedback
2021/12/06 by Wenjia Ba, Tianyi Lin, Ba, Wenjia +5 · 5 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Auction Theory and Applications #Computer Science and Game Theory (cs.GT) #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
- Dynamic Batch Learning in High-Dimensional Sparse Linear Contextual Bandits
2020/08/27 by Zhimei Ren, Zhengyuan Zhou, Ren, Zhimei +1 · 5 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
- Sample Complexity of Variance-reduced Distributionally Robust Q-learning
2023/05/28 by Shengbo Wang, Nian Si, Wang, Shengbo +5 · 6 citations
Computer Science · #Reinforcement Learning in Robotics
- Balanced Linear Contextual Bandits
2018/12/15 by Maria Dimakopoulou, Zhengyuan Zhou, Dimakopoulou, Maria +5 · 4 citations
Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Machine Learning and Algorithms #Reinforcement Learning in Robotics
- Breaking the Lower Bound with (Little) Structure: Acceleration in Non-Convex Stochastic Optimization with Heavy-Tailed Noise
2023/02/14 by Zijian Liu, Jiawei Zhang, Liu, Zijian +3 · 4 citations
Computer Science · Mathematics · #Stochastic Gradient Optimization Techniques #Statistical Methods and Inference #Markov Chains and Monte Carlo Methods
- Sensitivity analysis under the f-sensitivity models: a distributional robustness perspective
2022/03/08 by Ying Jin, Zhimei Ren, Jin, Ying +3 · 3 citations
Decision Sciences · Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Methodology (stat.ME) #Risk and Portfolio Optimization #Statistical Methods and Inference
- Revisiting the Last-Iterate Convergence of Stochastic Gradient Methods
2023/12/13 by Zijian Liu, Zhengyuan Zhou, Liu, Zijian +1 · 5 citations
Computer Science · Engineering · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- Near-Optimal Non-Convex Stochastic Optimization under Generalized Smoothness
2023/02/13 by Zijian Liu, Srikanth Jagabathula, Liu, Zijian +3 · 3 citations
Computer Science · Engineering · Decision Sciences · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques #Advanced Bandit Algorithms Research
- No Weighted-Regret Learning in Adversarial Bandits with Delays
2021/03/08 by Ilai Bistritz, Zhengyuan Zhou, Bistritz, Ilai +7 · 2 citations
Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Machine Learning and Algorithms #Auction Theory and Applications
- On the Foundation of Distributionally Robust Reinforcement Learning
2023/11/15 by Shengbo Wang, Wang, Shengbo, Nian Si +5 · 3 citations
Computer Science · #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Reinforcement Learning in Robotics #Systems and Control (eess.SY) #electronic engineering #information engineering
- Learning to Bid Optimally and Efficiently in Adversarial First-price Auctions
2020/07/09 by Yanjun Han, Han, Yanjun, Zhengyuan Zhou +7 · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Auction Theory and Applications #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
- Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions
2022/11/05 by Wei Zhang, Zhang, Wei, Yanjun Han +7 · 1 citation
Business, Management and Accounting · Decision Sciences · #Advanced Bandit Algorithms Research #Auction Theory and Applications #Computer Science and Game Theory (cs.GT) #Consumer Market Behavior and Pricing #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Joint Value Estimation and Bidding in Repeated First-Price Auctions
2025/02/24 by Yanjun Han, Wen, Yuxiao, Han, Yanjun +2 · 3 citations
Business, Management and Accounting · Decision Sciences · Economics, Econometrics and Finance · #Auction Theory and Applications #Computer Science and Game Theory (cs.GT) #Consumer Market Behavior and Pricing #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Merger and Competition Analysis #Methodology (stat.ME)
- On the Last-Iterate Convergence of Shuffling Gradient Methods
2024/03/12 by Zijian Liu, Zhengyuan Zhou, Liu, Zijian +1 · 1 citation
Mathematics · Computer Science · #Advanced Optimization Algorithms Research #Numerical methods in inverse problems #Matrix Theory and Algorithms
- Learning to Bid in Non-Stationary Repeated First-Price Auctions
2025/01/23 by Zihao Hu, Xiaoyu Fan, Hu, Zihao +7 · 1 citation
Decision Sciences · Business, Management and Accounting · Economics, Econometrics and Finance · #Auction Theory and Applications #Consumer Market Behavior and Pricing #Merger and Competition Analysis