Chicheng Zhang

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 57

Top Venues

CoRR

NeurIPS

NIPS

ICML

University of California, San Diego, USA (PHD)

Education History

University of California, San Diego, USA

PHD

Publications

Tom Yan, Chicheng Zhang
The Human-AI Substitution game: active learning from a strategic labeler. ICLR (2024)
Yinan Li, Chicheng Zhang
Efficient Active Learning Halfspaces with Tsybakov Noise: A Non-convex Optimization Approach. AISTATS (2024)
Kyoungseok Jang, Chicheng Zhang, Kwang-Sung Jun
Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits. CoRR (2024)
Yichen Li, Chicheng Zhang
Ensemble-based Interactive Imitation Learning. CoRR (2023)
Zhiwu Guo, Chicheng Zhang, Ming Li, Marwan Krunz
Fair Coexistence of Heterogeneous Networks: A Novel Probabilistic Multi-Armed Bandit Approach. WiOpt (2023)
Hao Qin, Kwang-Sung Jun, Chicheng Zhang
Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded Rewards. CoRR (2023)
Yinan Li, Chicheng Zhang
Efficient Active Learning Halfspaces with Tsybakov Noise: A Non-convex Optimization Approach. CoRR (2023)
Hao Qin, Kwang-Sung Jun, Chicheng Zhang
Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded Rewards. NeurIPS (2023)
Tianchi Zhao, Chicheng Zhang, Ming Li
Hierarchical Unimodal Bandits. ECML/PKDD (4) (2022)
Tom Yan, Chicheng Zhang
Margin-distancing for safe model explanation. AISTATS (2022)
Yichen Li, Chicheng Zhang
On Efficient Online Imitation Learning via Classification. NeurIPS (2022)
Zhi Wang, Chicheng Zhang, Kamalika Chaudhuri
Thompson Sampling for Robust Transfer in Multi-Task Bandits. ICML (2022)
Tom Yan, Chicheng Zhang
Active Fairness Auditing. CoRR (2022)
Tom Yan, Chicheng Zhang
Active fairness auditing. ICML (2022)
Tom Yan, Chicheng Zhang
Margin-distancing for safe model explanation. CoRR (2022)
Kyoungseok Jang, Chicheng Zhang, Kwang-Sung Jun
PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits. CoRR (2022)
Yichen Li, Chicheng Zhang
On Efficient Online Imitation Learning via Classification. CoRR (2022)
Zhi Wang, Chicheng Zhang, Kamalika Chaudhuri
Thompson Sampling for Robust Transfer in Multi-Task Bandits. CoRR (2022)
Kyoungseok Jang, Chicheng Zhang, Kwang-Sung Jun
PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits. NeurIPS (2022)
Jie Shen, Chicheng Zhang
Attribute-Efficient Learning of Halfspaces with Malicious Noise: Near-Optimal Label Complexity and Noise Tolerance. ALT (2021)
Zhi Wang, Chicheng Zhang, Manish Kumar Singh, Laurel D. Riek, Kamalika Chaudhuri
Multitask Bandit Learning Through Heterogeneous Feedback Aggregation. AISTATS (2021)
Chicheng Zhang, Yinan Li
Improved Algorithms for Efficient Active Learning Halfspaces with Massart and Tsybakov noise. CoRR (2021)
Chicheng Zhang, Zhi Wang
Provably efficient multi-task reinforcement learning with model transfer. NeurIPS (2021)
Chicheng Zhang, Yinan Li
Improved Algorithms for Efficient Active Learning Halfspaces with Massart and Tsybakov Noise. COLT (2021)
Chicheng Zhang, Zhi Wang
Provably Efficient Multi-Task Reinforcement Learning with Model Transfer. CoRR (2021)
Dharma KC, Chicheng Zhang
Improving the trustworthiness of image classification models by utilizing bounding-box annotations. CoRR (2021)
Dharma KC, Chicheng Zhang, Chris Gniady, Parth Sandeep Agarwal, Sushil Sharma
SIM-ECG: A Signal Importance Mask-driven ECGClassification System. CoRR (2021)
Yining Chen, Haipeng Luo, Tengyu Ma, Chicheng Zhang
Active Online Learning with Hidden Shifting Domains. AISTATS (2021)
Chicheng Zhang, Jie Shen, Pranjal Awasthi
Efficient active learning of sparse halfspaces with arbitrary bounded noise. NeurIPS (2020)
Maryam Majzoubi, Chicheng Zhang, Rajan Chari, Akshay Krishnamurthy, John Langford, Aleksandrs Slivkins
Efficient Contextual Bandits with Continuous Actions. CoRR (2020)
Zhi Wang, Chicheng Zhang, Manish Kumar Singh, Laurel D. Riek, Kamalika Chaudhuri
Multitask Bandit Learning through Heterogeneous Feedback Aggregation. CoRR (2020)
Jordan T. Ash, Chicheng Zhang, Akshay Krishnamurthy, John Langford, Alekh Agarwal
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds. ICLR (2020)
Kwang-Sung Jun, Chicheng Zhang
Crush Optimism with Pessimism: Structured Bandits Beyond Asymptotic Optimality. NeurIPS (2020)
Maryam Majzoubi, Chicheng Zhang, Rajan Chari, Akshay Krishnamurthy, John Langford, Aleksandrs Slivkins
Efficient Contextual Bandits with Continuous Actions. NeurIPS (2020)
Akshay Krishnamurthy, John Langford, Aleksandrs Slivkins, Chicheng Zhang
Contextual Bandits with Continuous Actions: Smoothing, Zooming, and Adapting. J. Mach. Learn. Res. 21 (2020)
Chicheng Zhang, Jie Shen, Pranjal Awasthi
Efficient active learning of sparse halfspaces with arbitrary bounded noise. CoRR (2020)
Kwang-Sung Jun, Chicheng Zhang
Crush Optimism with Pessimism: Structured Bandits Beyond Asymptotic Optimality. CoRR (2020)
Jie Shen, Chicheng Zhang
Attribute-Efficient Learning of Halfspaces with Malicious Noise: Near-Optimal Label Complexity and Noise Tolerance. CoRR (2020)
Yining Chen, Haipeng Luo, Tengyu Ma, Chicheng Zhang
Active Online Domain Adaptation. CoRR (2020)
Jordan T. Ash, Chicheng Zhang, Akshay Krishnamurthy, John Langford, Alekh Agarwal
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds. CoRR (2019)
Akshay Krishnamurthy, John Langford, Aleksandrs Slivkins, Chicheng Zhang
Contextual bandits with continuous actions: Smoothing, zooming, and adapting. COLT (2019)
Alina Beygelzimer, Dávid Pál, Balázs Szörényi, Devanathan Thiruvenkatachari, Chen-Yu Wei, Chicheng Zhang
Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case. CoRR (2019)
Chicheng Zhang, Alekh Agarwal, Hal Daumé III, John Langford, Sahand N. Negahban
Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback. CoRR (2019)
Alina Beygelzimer, Dávid Pál, Balázs Szörényi, Devanathan Thiruvenkatachari, Chen-Yu Wei, Chicheng Zhang
Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case. ICML (2019)
Akshay Krishnamurthy, John Langford, Aleksandrs Slivkins, Chicheng Zhang
Contextual Bandits with Continuous Actions: Smoothing, Zooming, and Adapting. CoRR (2019)
Chicheng Zhang, Alekh Agarwal, Hal Daumé III, John Langford, Sahand Negahban
Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback. ICML (2019)
Chicheng Zhang
Efficient active learning of sparse halfspaces. CoRR (2018)
Chicheng Zhang, Eran A. Mukamel, Kamalika Chaudhuri
Spectral Learning of Binomial HMMs for DNA Methylation Data. CoRR (2018)
Chicheng Zhang
Efficient active learning of sparse halfspaces. COLT (2018)
Songbai Yan, Chicheng Zhang
Revisiting Perceptron: Efficient and Label-Optimal Learning of Halfspaces. NIPS (2017)
Alina Beygelzimer, Francesco Orabona, Chicheng Zhang
Efficient Online Bandit Multiclass Learning with $\tilde{O}(\sqrt{T})$ Regret. CoRR (2017)
Alina Beygelzimer, Francesco Orabona, Chicheng Zhang
Efficient Online Bandit Multiclass Learning with Õ(√T) Regret. ICML (2017)
Songbai Yan, Chicheng Zhang
Revisiting Perceptron: Efficient and Label-Optimal Active Learning of Halfspaces. CoRR (2017)
Alina Beygelzimer, Daniel J. Hsu, John Langford, Chicheng Zhang
Search Improves Label for Active Learning. NIPS (2016)
Chicheng Zhang, Kamalika Chaudhuri
The Extended Littlestone's Dimension for Learning with Mistakes and Abstentions. COLT (2016)
Alina Beygelzimer, Daniel J. Hsu, John Langford, Chicheng Zhang
Search Improves Label for Active Learning. CoRR (2016)
Chicheng Zhang, Kamalika Chaudhuri
The Extended Littlestone's Dimension for Learning with Mistakes and Abstentions. CoRR (2016)
Chicheng Zhang, Kamalika Chaudhuri
Active Learning from Weak and Strong Labelers. NIPS (2015)
Chicheng Zhang, Jimin Song, Kevin C. Chen, Kamalika Chaudhuri
Spectral Learning of Large Structured HMMs for Comparative Epigenomics. CoRR (2015)
Chicheng Zhang, Jimin Song, Kamalika Chaudhuri, Kevin C. Chen
Spectral Learning of Large Structured HMMs for Comparative Epigenomics. NIPS (2015)
Chicheng Zhang, Kamalika Chaudhuri
Active Learning from Weak and Strong Labelers. CoRR (2015)
Chicheng Zhang, Kamalika Chaudhuri
Beyond Disagreement-based Agnostic Active Learning. CoRR (2014)
Chicheng Zhang, Kamalika Chaudhuri
Beyond Disagreement-Based Agnostic Active Learning. NIPS (2014)

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Publication Activity (10 Years)

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Chicheng Zhang