Chicheng Zhang

77 papers A* 22A 4B 2Journal 41Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Taming the Monster Every Context: Complexity Measure and Unified Framework for Offline-Oracle Efficient Contextual Bandits. CoRR Hao Qin, Chicheng Zhang
2025	J	`jnl`	Achieving adaptivity and optimality for multi-armed bandits using Exponential-Kullback Leiblier Maillard Sampling. CoRR Hao Qin, Kwang-Sung Jun, Chicheng Zhang
2025	J	`jnl`	Beyond Task Diversity: Provable Representation Transfer for Sequential Multi-Task Linear Bandits. CoRR Thang Duong, Zhi Wang, Chicheng Zhang
2025	J	`jnl`	Bridging Lifelong and Multi-Task Representation Learning via Algorithm and Complexity Measure. CoRR Zhi Wang, Chicheng Zhang, Ramya Korlakai Vinayak
2025	—	`conf`	Efficient Fair Probabilistic Multi-armed Bandit for Real-Time Resource Allocation in Spectrum Sharing. DySPAN Zhiwu Guo, Chicheng Zhang, Ming Li, Marwan Krunz
2025	J	`jnl`	Improving the Data-efficiency of Reinforcement Learning by Warm-starting with LLM. CoRR Thang Duong, Minglai Yang, Chicheng Zhang
2025	J	`jnl`	Physics-Informed Parametric Bandits for Beam Alignment in mmWave Communications. CoRR Hao Qin, Thang Duong, Ming Li, Chicheng Zhang
2025	A*	`conf`	Towards Fundamental Limits for Active Multi-distribution Learning. COLT Chicheng Zhang, Yihan Zhou
2025	J	`jnl`	Towards Fundamental Limits for Active Multi-distribution Learning. CoRR Chicheng Zhang, Yihan Zhou
2024	J	`jnl`	A Note on Sample Complexity of Interactive Imitation Learning with Log Loss. CoRR Yichen Li, Chicheng Zhang
2024	A*	`conf`	Agnostic Interactive Imitation Learning: New Theory and Practical Algorithms. ICML Yichen Li, Chicheng Zhang
2024	A*	`conf`	Beyond task diversity: provable representation transfer for sequential multitask linear bandits. NeurIPS Thang Duong, Zhi Wang, Chicheng Zhang
2024	A	`conf`	Efficient Active Learning Halfspaces with Tsybakov Noise: A Non-convex Optimization Approach. AISTATS Yinan Li, Chicheng Zhang
2024	A*	`conf`	Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits. ICML Kyoungseok Jang, Chicheng Zhang, Kwang-Sung Jun
2024	J	`jnl`	Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits. CoRR Kyoungseok Jang, Chicheng Zhang, Kwang-Sung Jun
2024	A*	`conf`	The Human-AI Substitution game: active learning from a strategic labeler. ICLR Tom Yan, Chicheng Zhang
2023	J	`jnl`	Efficient Active Learning Halfspaces with Tsybakov Noise: A Non-convex Optimization Approach. CoRR Yinan Li, Chicheng Zhang
2023	J	`jnl`	Ensemble-based Interactive Imitation Learning. CoRR Yichen Li, Chicheng Zhang
2023	B	`conf`	Fair Coexistence of Heterogeneous Networks: A Novel Probabilistic Multi-Armed Bandit Approach. WiOpt Zhiwu Guo, Chicheng Zhang, Ming Li, Marwan Krunz
2023	A*	`conf`	Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded Rewards. NeurIPS Hao Qin, Kwang-Sung Jun, Chicheng Zhang
2023	J	`jnl`	Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded Rewards. CoRR Hao Qin, Kwang-Sung Jun, Chicheng Zhang
2022	J	`jnl`	Active Fairness Auditing. CoRR Tom Yan, Chicheng Zhang
2022	A*	`conf`	Active fairness auditing. ICML Tom Yan, Chicheng Zhang
2022	—	`conf`	Hierarchical Unimodal Bandits. ECML/PKDD (4) Tianchi Zhao, Chicheng Zhang, Ming Li
2022	A	`conf`	Margin-distancing for safe model explanation. AISTATS Tom Yan, Chicheng Zhang
2022	J	`jnl`	Margin-distancing for safe model explanation. CoRR Tom Yan, Chicheng Zhang
2022	A*	`conf`	On Efficient Online Imitation Learning via Classification. NeurIPS Yichen Li, Chicheng Zhang
2022	J	`jnl`	On Efficient Online Imitation Learning via Classification. CoRR Yichen Li, Chicheng Zhang
2022	A*	`conf`	PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits. NeurIPS Kyoungseok Jang, Chicheng Zhang, Kwang-Sung Jun
2022	J	`jnl`	PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits. CoRR Kyoungseok Jang, Chicheng Zhang, Kwang-Sung Jun
2022	A*	`conf`	Thompson Sampling for Robust Transfer in Multi-Task Bandits. ICML Zhi Wang, Chicheng Zhang, Kamalika Chaudhuri
2022	J	`jnl`	Thompson Sampling for Robust Transfer in Multi-Task Bandits. CoRR Zhi Wang, Chicheng Zhang, Kamalika Chaudhuri
2021	A	`conf`	Active Online Learning with Hidden Shifting Domains. AISTATS Yining Chen, Haipeng Luo, Tengyu Ma, Chicheng Zhang
2021	B	`conf`	Attribute-Efficient Learning of Halfspaces with Malicious Noise: Near-Optimal Label Complexity and Noise Tolerance. ALT Jie Shen, Chicheng Zhang
2021	A*	`conf`	Improved Algorithms for Efficient Active Learning Halfspaces with Massart and Tsybakov Noise. COLT Chicheng Zhang, Yinan Li
2021	J	`jnl`	Improved Algorithms for Efficient Active Learning Halfspaces with Massart and Tsybakov noise. CoRR Chicheng Zhang, Yinan Li
2021	J	`jnl`	Improving the trustworthiness of image classification models by utilizing bounding-box annotations. CoRR Dharma KC, Chicheng Zhang
2021	A	`conf`	Multitask Bandit Learning Through Heterogeneous Feedback Aggregation. AISTATS Zhi Wang, Chicheng Zhang, Manish Kumar Singh, Laurel D. Riek, Kamalika Chaudhuri
2021	J	`jnl`	Provably Efficient Multi-Task Reinforcement Learning with Model Transfer. CoRR Chicheng Zhang, Zhi Wang
2021	A*	`conf`	Provably efficient multi-task reinforcement learning with model transfer. NeurIPS Chicheng Zhang, Zhi Wang
2021	J	`jnl`	SIM-ECG: A Signal Importance Mask-driven ECGClassification System. CoRR Dharma KC, Chicheng Zhang, Chris Gniady, Parth Sandeep Agarwal, Sushil Sharma
2020	J	`jnl`	Active Online Domain Adaptation. CoRR Yining Chen, Haipeng Luo, Tengyu Ma, Chicheng Zhang
2020	J	`jnl`	Attribute-Efficient Learning of Halfspaces with Malicious Noise: Near-Optimal Label Complexity and Noise Tolerance. CoRR Jie Shen, Chicheng Zhang
2020	J	`jnl`	Contextual Bandits with Continuous Actions: Smoothing, Zooming, and Adapting. J. Mach. Learn. Res. Akshay Krishnamurthy, John Langford, Aleksandrs Slivkins, Chicheng Zhang
2020	A*	`conf`	Crush Optimism with Pessimism: Structured Bandits Beyond Asymptotic Optimality. NeurIPS Kwang-Sung Jun, Chicheng Zhang
2020	J	`jnl`	Crush Optimism with Pessimism: Structured Bandits Beyond Asymptotic Optimality. CoRR Kwang-Sung Jun, Chicheng Zhang
2020	A*	`conf`	Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds. ICLR Jordan T. Ash, Chicheng Zhang, Akshay Krishnamurthy, John Langford, Alekh Agarwal
2020	A*	`conf`	Efficient Contextual Bandits with Continuous Actions. NeurIPS Maryam Majzoubi, Chicheng Zhang, Rajan Chari, Akshay Krishnamurthy, John Langford, Aleksandrs Slivkins
2020	J	`jnl`	Efficient Contextual Bandits with Continuous Actions. CoRR Maryam Majzoubi, Chicheng Zhang, Rajan Chari, Akshay Krishnamurthy, John Langford, Aleksandrs Slivkins
2020	A*	`conf`	Efficient active learning of sparse halfspaces with arbitrary bounded noise. NeurIPS Chicheng Zhang, Jie Shen, Pranjal Awasthi
2020	J	`jnl`	Efficient active learning of sparse halfspaces with arbitrary bounded noise. CoRR Chicheng Zhang, Jie Shen, Pranjal Awasthi
2020	J	`jnl`	Multitask Bandit Learning through Heterogeneous Feedback Aggregation. CoRR Zhi Wang, Chicheng Zhang, Manish Kumar Singh, Laurel D. Riek, Kamalika Chaudhuri
2019	A*	`conf`	Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case. ICML Alina Beygelzimer, Dávid Pál, Balázs Szörényi, Devanathan Thiruvenkatachari, Chen-Yu Wei, Chicheng Zhang
2019	J	`jnl`	Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case. CoRR Alina Beygelzimer, Dávid Pál, Balázs Szörényi, Devanathan Thiruvenkatachari, Chen-Yu Wei, Chicheng Zhang
2019	J	`jnl`	Contextual Bandits with Continuous Actions: Smoothing, Zooming, and Adapting. CoRR Akshay Krishnamurthy, John Langford, Aleksandrs Slivkins, Chicheng Zhang
2019	A*	`conf`	Contextual bandits with continuous actions: Smoothing, zooming, and adapting. COLT Akshay Krishnamurthy, John Langford, Aleksandrs Slivkins, Chicheng Zhang
2019	J	`jnl`	Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds. CoRR Jordan T. Ash, Chicheng Zhang, Akshay Krishnamurthy, John Langford, Alekh Agarwal
2019	A*	`conf`	Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback. ICML Chicheng Zhang, Alekh Agarwal, Hal Daumé III, John Langford, Sahand Negahban
2019	J	`jnl`	Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback. CoRR Chicheng Zhang, Alekh Agarwal, Hal Daumé III, John Langford, Sahand N. Negahban
2018	A*	`conf`	Efficient active learning of sparse halfspaces. COLT Chicheng Zhang
2018	J	`jnl`	Efficient active learning of sparse halfspaces. CoRR Chicheng Zhang
2018	J	`jnl`	Spectral Learning of Binomial HMMs for DNA Methylation Data. CoRR Chicheng Zhang, Eran A. Mukamel, Kamalika Chaudhuri
2017	—	`—`	Active Learning and Confidence-rated Prediction. Chicheng Zhang
2017	J	`jnl`	Efficient Online Bandit Multiclass Learning with $\tilde{O}(\sqrt{T})$ Regret. CoRR Alina Beygelzimer, Francesco Orabona, Chicheng Zhang
2017	A*	`conf`	Efficient Online Bandit Multiclass Learning with Õ(√T) Regret. ICML Alina Beygelzimer, Francesco Orabona, Chicheng Zhang
2017	J	`jnl`	Revisiting Perceptron: Efficient and Label-Optimal Active Learning of Halfspaces. CoRR Songbai Yan, Chicheng Zhang
2017	—	`conf`	Revisiting Perceptron: Efficient and Label-Optimal Learning of Halfspaces. NIPS Songbai Yan, Chicheng Zhang
2016	—	`conf`	Search Improves Label for Active Learning. NIPS Alina Beygelzimer, Daniel J. Hsu, John Langford, Chicheng Zhang
2016	J	`jnl`	Search Improves Label for Active Learning. CoRR Alina Beygelzimer, Daniel J. Hsu, John Langford, Chicheng Zhang
2016	A*	`conf`	The Extended Littlestone's Dimension for Learning with Mistakes and Abstentions. COLT Chicheng Zhang, Kamalika Chaudhuri
2016	J	`jnl`	The Extended Littlestone's Dimension for Learning with Mistakes and Abstentions. CoRR Chicheng Zhang, Kamalika Chaudhuri
2015	—	`conf`	Active Learning from Weak and Strong Labelers. NIPS Chicheng Zhang, Kamalika Chaudhuri
2015	J	`jnl`	Active Learning from Weak and Strong Labelers. CoRR Chicheng Zhang, Kamalika Chaudhuri
2015	—	`conf`	Spectral Learning of Large Structured HMMs for Comparative Epigenomics. NIPS Chicheng Zhang, Jimin Song, Kamalika Chaudhuri, Kevin C. Chen
2015	J	`jnl`	Spectral Learning of Large Structured HMMs for Comparative Epigenomics. CoRR Chicheng Zhang, Jimin Song, Kevin C. Chen, Kamalika Chaudhuri
2014	—	`conf`	Beyond Disagreement-Based Agnostic Active Learning. NIPS Chicheng Zhang, Kamalika Chaudhuri
2014	J	`jnl`	Beyond Disagreement-based Agnostic Active Learning. CoRR Chicheng Zhang, Kamalika Chaudhuri