Zhang, Chicheng

37 publications

NeurIPS 2025 Interactive and Hybrid Imitation Learning: Provably Beating Behavior Cloning Yichen Li, Chicheng Zhang

NeurIPS 2025 Stackelberg Learning with Outcome-Based Payment Tom Yan, Chicheng Zhang

COLT 2025 Towards Fundamental Limits for Active Multi-Distribution Learning Chicheng Zhang, Yihan Zhou

ICML 2024 Agnostic Interactive Imitation Learning: New Theory and Practical Algorithms Yichen Li, Chicheng Zhang

NeurIPS 2024 Beyond Task Diversity: Provable Representation Transfer for Sequential Multitask Linear Bandits Thang Duong, Zhi Wang, Chicheng Zhang

AISTATS 2024 Efficient Active Learning Halfspaces with Tsybakov Noise: A Non-Convex Optimization Approach Yinan Li, Chicheng Zhang

ICML 2024 Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits Kyoungseok Jang, Chicheng Zhang, Kwang-Sung Jun

ICLR 2024 The Human-AI Substitution Game: Active Learning from a Strategic Labeler Tom Yan, Chicheng Zhang

NeurIPS 2023 Kullback-Leibler Maillard Sampling for Multi-Armed Bandits with Bounded Rewards Hao Qin, Kwang-Sung Jun, Chicheng Zhang

AISTATS 2022 Margin-Distancing for Safe Model Explanation Tom Yan, Chicheng Zhang

ICML 2022 Active Fairness Auditing Tom Yan, Chicheng Zhang

ECML-PKDD 2022 Hierarchical Unimodal Bandits Tianchi Zhao, Chicheng Zhang, Ming Li

NeurIPS 2022 On Efficient Online Imitation Learning via Classification Yichen Li, Chicheng Zhang

NeurIPS 2022 PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits Kyoungseok Jang, Chicheng Zhang, Kwang-Sung Jun

ICML 2022 Thompson Sampling for Robust Transfer in Multi-Task Bandits Zhi Wang, Chicheng Zhang, Kamalika Chaudhuri

AISTATS 2021 Active Online Learning with Hidden Shifting Domains Yining Chen, Haipeng Luo, Tengyu Ma, Chicheng Zhang

AISTATS 2021 Multitask Bandit Learning Through Heterogeneous Feedback Aggregation Zhi Wang, Chicheng Zhang, Manish Kumar Singh, Laurel Riek, Kamalika Chaudhuri

ALT 2021 Attribute-Efficient Learning of Halfspaces with Malicious Noise: Near-Optimal Label Complexity and Noise Tolerance Jie Shen, Chicheng Zhang

COLT 2021 Improved Algorithms for Efficient Active Learning Halfspaces with Massart and Tsybakov Noise Chicheng Zhang, Yinan Li

NeurIPS 2021 Provably Efficient Multi-Task Reinforcement Learning with Model Transfer Chicheng Zhang, Zhi Wang

ICMLW 2020 Active Online Domain Adaptation Yining Chen, Haipeng Luo, Tengyu Ma, Chicheng Zhang

JMLR 2020 Contextual Bandits with Continuous Actions: Smoothing, Zooming, and Adapting Akshay Krishnamurthy, John Langford, Aleksandrs Slivkins, Chicheng Zhang

NeurIPS 2020 Crush Optimism with Pessimism: Structured Bandits Beyond Asymptotic Optimality Kwang-Sung Jun, Chicheng Zhang

ICLR 2020 Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds Jordan T. Ash, Chicheng Zhang, Akshay Krishnamurthy, John Langford, Alekh Agarwal

NeurIPS 2020 Efficient Active Learning of Sparse Halfspaces with Arbitrary Bounded Noise Chicheng Zhang, Jie Shen, Pranjal Awasthi

NeurIPS 2020 Efficient Contextual Bandits with Continuous Actions Maryam Majzoubi, Chicheng Zhang, Rajan Chari, Akshay Krishnamurthy, John Langford, Aleksandrs Slivkins

ICML 2019 Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case Alina Beygelzimer, David Pal, Balazs Szorenyi, Devanathan Thiruvenkatachari, Chen-Yu Wei, Chicheng Zhang

COLT 2019 Contextual Bandits with Continuous Actions: Smoothing, Zooming, and Adapting Akshay Krishnamurthy, John Langford, Aleksandrs Slivkins, Chicheng Zhang

ICML 2019 Warm-Starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback Chicheng Zhang, Alekh Agarwal, Hal Daumé Iii, John Langford, Sahand Negahban

COLT 2018 Efficient Active Learning of Sparse Halfspaces Chicheng Zhang

ICML 2017 Efficient Online Bandit Multiclass Learning with $\tilde{O}(\sqrt{T})$ Regret Alina Beygelzimer, Francesco Orabona, Chicheng Zhang

NeurIPS 2017 Revisiting Perceptron: Efficient and Label-Optimal Learning of Halfspaces Songbai Yan, Chicheng Zhang

NeurIPS 2016 Search Improves Label for Active Learning Alina Beygelzimer, Daniel J. Hsu, John Langford, Chicheng Zhang

COLT 2016 The Extended Littlestone's Dimension for Learning with Mistakes and Abstentions Chicheng Zhang, Kamalika Chaudhuri

NeurIPS 2015 Active Learning from Weak and Strong Labelers Chicheng Zhang, Kamalika Chaudhuri

NeurIPS 2015 Spectral Learning of Large Structured HMMs for Comparative Epigenomics Chicheng Zhang, Jimin Song, Kamalika Chaudhuri, Kevin Chen

NeurIPS 2014 Beyond Disagreement-Based Agnostic Active Learning Chicheng Zhang, Kamalika Chaudhuri