Han, Yanjun
- Batched Multi-armed Bandits Problem
2019/04/03 by Zijun Gao, Yanjun Han, Gao, Zijun +5 · 11 citations
Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Optimization and Search Problems #Age of Information Optimization
- Minimax Estimation of Functionals of Discrete Distributions
2014/06/26 by Jiao, Jiantao, Venkat, Kartik, Han, Yanjun +1 · 5 citations
#FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Statistics Theory (math.ST)
- Sequential Batch Learning in Finite-Action Linear Contextual Bandits
2020/04/14 by Han, Yanjun, Zhou, Zhengqing, Zhou, Zhengyuan +3 · 4 citations
#FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Optimal rates of entropy estimation over Lipschitz balls
2017/11/06 by Han, Yanjun, Jiao, Jiantao, Weissman, Tsachy +1 · 2 citations
#FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Methodology (stat.ME) #Statistics Theory (math.ST)
- Learning and Collusion in Multi-unit Auctions
2023/05/27 by Brânzei, Simina, Derakhshan, Mahsa, Golrezaei, Negin +1 · 3 citations
#Artificial Intelligence (cs.AI) #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Integrated Gallium Nitride Nonlinear Photonics
2020/10/30 by Zheng, Yanzhen, Sun, Changzheng, Xiong, Bing +7 · 2 citations
#Applied Physics (physics.app-ph) #FOS: Physical sciences #Optics (physics.optics)
- Adversarial Combinatorial Bandits with General Non-linear Reward Functions
2021/01/05 by Chen, Xi, Han, Yanjun, Wang, Yining · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Optimal No-regret Learning in Repeated First-price Auctions
2020/03/22 by Han, Yanjun, Zhou, Zhengyuan, Weissman, Tsachy · 2 citations
#Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
- Demystifying ResNet
2016/11/03 by Sihan Li, Jiantao Jiao, Li, Sihan +5 · 1 citation
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
- Generalizations of Maximal Inequalities to Arbitrary Selection Rules
2017/08/29 by Jiao, Jiantao, Han, Yanjun, Weissman, Tsachy · 1 citation
#FOS: Mathematics #Probability (math.PR)
- Stochastic contextual bandits with graph feedback: from independence number to MAS number
2024/02/12 by Wen, Yuxiao, Han, Yanjun, Zhou, Zhengyuan · 2 citations
#Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Statistics Theory (math.ST)
- Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit
2019/07/20 by Acharya, Jayadev, Canonne, Clément L., Han, Yanjun +2 · 1 citation
#Data Structures and Algorithms (cs.DS) #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Statistics Theory (math.ST)
- Local moment matching: A unified methodology for symmetric functional estimation and distribution estimation under Wasserstein distance
2018/02/23 by Yanjun Han, Jiantao Jiao, Han, Yanjun +3 · 2 citations
Mathematics · Computer Science · #Markov Chains and Monte Carlo Methods #Statistical Methods and Inference #Bayesian Methods and Mixture Models
- 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
- Provably Breaking the Quadratic Error Compounding Barrier in Imitation Learning, Optimally
2021/02/25 by Nived Rajaraman, Yanjun Han, Rajaraman, Nived +7 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
- Optimal prediction of Markov chains with and without spectral gap
2021/06/26 by Han, Yanjun, Jana, Soham, Wu, Yihong · 1 citation
#FOS: Mathematics #Statistics Theory (math.ST)
- Approximate independence of permutation mixtures
2024/08/18 by Han, Yanjun, Niles-Weed, Jonathan · 2 citations
#FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Probability (math.PR) #Statistics Theory (math.ST)
- Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions
2022/11/05 by Wei Zhang, Yanjun Han, Zhang, Wei +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)
- Tight Guarantees for Interactive Decision Making with the Decision-Estimation Coefficient
2023/01/19 by Dylan J. Foster, Noah Golowich, Foster, Dylan J. +3 · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Reinforcement Learning in Robotics #Statistics Theory (math.ST)
- Statistical Complexity and Optimal Algorithms for Non-linear Ridge Bandits
2023/02/12 by Nived Rajaraman, Rajaraman, Nived, Yanjun Han +5 · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Statistics Theory (math.ST)
- Minimax optimal testing by classification
2023/06/19 by Patrik Róbert Gerber, Yanjun Han, Gerber, Patrik Róbert +3 · 1 citation
Computer Science · Mathematics · #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning and Algorithms #Machine Learning and Data Classification #Statistical Methods and Inference #Statistics Theory (math.ST)
- 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)
- Prediction from compression for models with infinite memory, with applications to hidden Markov and renewal processes
2024/04/23 by Han Yan-jun, Han, Yanjun, Tianze Jiang +3 · 1 citation
Computer Science · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning and Algorithms #Neural Networks and Applications #Statistics Theory (math.ST)
- Online Estimation via Offline Estimation: An Information-Theoretic Framework
2024/04/15 by Foster, Dylan J., Han, Yanjun, Qian, Jian +1 · 1 citation
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
- Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability
2024/10/07 by Chen, Fan, Foster, Dylan J., Han, Yanjun +3 · 1 citation
#FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)