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2020 – today
- 2024
[c32]Yinan Li, Chicheng Zhang:
Efficient Active Learning Halfspaces with Tsybakov Noise: A Non-convex Optimization Approach. AISTATS 2024: 4744-4752- [c31]Tom Yan, Chicheng Zhang:
The Human-AI Substitution game: active learning from a strategic labeler. ICLR 2024 - [c30]Kyoungseok Jang, Chicheng Zhang, Kwang-Sung Jun:
Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits. ICML 2024 - [c29]Yichen Li, Chicheng Zhang:
Agnostic Interactive Imitation Learning: New Theory and Practical Algorithms. ICML 2024 - [i32]Kyoungseok Jang
, Chicheng Zhang, Kwang-Sung Jun:
Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits. CoRR abs/2402.11156 (2024) - 2023
- [c28]Hao Qin, Kwang-Sung Jun, Chicheng Zhang:
Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded Rewards. NeurIPS 2023 - [c27]Zhiwu Guo, Chicheng Zhang, Ming Li, Marwan Krunz:
Fair Coexistence of Heterogeneous Networks: A Novel Probabilistic Multi-Armed Bandit Approach. WiOpt 2023: 1-8 - [i31]Hao Qin, Kwang-Sung Jun, Chicheng Zhang:
Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded Rewards. CoRR abs/2304.14989 (2023) - [i30]Yinan Li, Chicheng Zhang:
Efficient Active Learning Halfspaces with Tsybakov Noise: A Non-convex Optimization Approach. CoRR abs/2310.15411 (2023) - [i29]Yichen Li, Chicheng Zhang:
Ensemble-based Interactive Imitation Learning. CoRR abs/2312.16860 (2023) - 2022
- [c26]Tom Yan, Chicheng Zhang:
Margin-distancing for safe model explanation. AISTATS 2022: 5104-5134 - [c25]Zhi Wang, Chicheng Zhang, Kamalika Chaudhuri:
Thompson Sampling for Robust Transfer in Multi-Task Bandits. ICML 2022: 23363-23416 - [c24]Tom Yan, Chicheng Zhang:
Active fairness auditing. ICML 2022: 24929-24962 - [c23]Kyoungseok Jang, Chicheng Zhang, Kwang-Sung Jun:
PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits. NeurIPS 2022 - [c22]Yichen Li, Chicheng Zhang:
On Efficient Online Imitation Learning via Classification. NeurIPS 2022 - [c21]Tianchi Zhao, Chicheng Zhang, Ming Li:
Hierarchical Unimodal Bandits. ECML/PKDD (4) 2022: 269-283 - [i28]Tom Yan, Chicheng Zhang:
Margin-distancing for safe model explanation. CoRR abs/2202.11266 (2022) - [i27]Tom Yan, Chicheng Zhang:
Active Fairness Auditing. CoRR abs/2206.08450 (2022) - [i26]Zhi Wang, Chicheng Zhang, Kamalika Chaudhuri:
Thompson Sampling for Robust Transfer in Multi-Task Bandits. CoRR abs/2206.08556 (2022) - [i25]Yichen Li, Chicheng Zhang:
On Efficient Online Imitation Learning via Classification. CoRR abs/2209.12868 (2022) - [i24]Kyoungseok Jang, Chicheng Zhang, Kwang-Sung Jun:
PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits. CoRR abs/2210.15345 (2022) - 2021
- [c20]Zhi Wang, Chicheng Zhang, Manish Kumar Singh, Laurel D. Riek, Kamalika Chaudhuri:
Multitask Bandit Learning Through Heterogeneous Feedback Aggregation. AISTATS 2021: 1531-1539 - [c19]Yining Chen, Haipeng Luo, Tengyu Ma, Chicheng Zhang:
Active Online Learning with Hidden Shifting Domains. AISTATS 2021: 2053-2061 - [c18]Jie Shen, Chicheng Zhang:
Attribute-Efficient Learning of Halfspaces with Malicious Noise: Near-Optimal Label Complexity and Noise Tolerance. ALT 2021: 1072-1113 - [c17]Chicheng Zhang, Yinan Li:
Improved Algorithms for Efficient Active Learning Halfspaces with Massart and Tsybakov Noise. COLT 2021: 4526-4527 - [c16]Chicheng Zhang, Zhi Wang:
Provably efficient multi-task reinforcement learning with model transfer. NeurIPS 2021: 19771-19783 - [i23]Chicheng Zhang, Yinan Li:
Improved Algorithms for Efficient Active Learning Halfspaces with Massart and Tsybakov noise. CoRR abs/2102.05312 (2021) - [i22]Chicheng Zhang, Zhi Wang:
Provably Efficient Multi-Task Reinforcement Learning with Model Transfer. CoRR abs/2107.08622 (2021) - [i21]Dharma KC, Chicheng Zhang:
Improving the trustworthiness of image classification models by utilizing bounding-box annotations. CoRR abs/2108.10131 (2021) - [i20]Dharma KC, Chicheng Zhang, Chris Gniady, Parth Sandeep Agarwal, Sushil Sharma:
SIM-ECG: A Signal Importance Mask-driven ECGClassification System. CoRR abs/2110.14835 (2021) - 2020
- [j1]Akshay Krishnamurthy, John Langford, Aleksandrs Slivkins, Chicheng Zhang:
Contextual Bandits with Continuous Actions: Smoothing, Zooming, and Adapting. J. Mach. Learn. Res. 21: 137:1-137:45 (2020) - [c15]Jordan T. Ash, Chicheng Zhang, Akshay Krishnamurthy, John Langford, Alekh Agarwal:
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds. ICLR 2020 - [c14]Kwang-Sung Jun, Chicheng Zhang:
Crush Optimism with Pessimism: Structured Bandits Beyond Asymptotic Optimality. NeurIPS 2020 - [c13]Maryam Majzoubi, Chicheng Zhang, Rajan Chari, Akshay Krishnamurthy, John Langford, Aleksandrs Slivkins:
Efficient Contextual Bandits with Continuous Actions. NeurIPS 2020 - [c12]Chicheng Zhang, Jie Shen, Pranjal Awasthi:
Efficient active learning of sparse halfspaces with arbitrary bounded noise. NeurIPS 2020 - [i19]Chicheng Zhang, Jie Shen, Pranjal Awasthi:
Efficient active learning of sparse halfspaces with arbitrary bounded noise. CoRR abs/2002.04840 (2020) - [i18]Jie Shen, Chicheng Zhang:
Attribute-Efficient Learning of Halfspaces with Malicious Noise: Near-Optimal Label Complexity and Noise Tolerance. CoRR abs/2006.03781 (2020) - [i17]Maryam Majzoubi, Chicheng Zhang, Rajan Chari, Akshay Krishnamurthy, John Langford, Aleksandrs Slivkins:
Efficient Contextual Bandits with Continuous Actions. CoRR abs/2006.06040 (2020) - [i16]Kwang-Sung Jun, Chicheng Zhang:
Crush Optimism with Pessimism: Structured Bandits Beyond Asymptotic Optimality. CoRR abs/2006.08754 (2020) - [i15]Yining Chen, Haipeng Luo, Tengyu Ma, Chicheng Zhang:
Active Online Domain Adaptation. CoRR abs/2006.14481 (2020) - [i14]Zhi Wang, Chicheng Zhang, Manish Kumar Singh, Laurel D. Riek, Kamalika Chaudhuri:
Multitask Bandit Learning through Heterogeneous Feedback Aggregation. CoRR abs/2010.15390 (2020)
2010 – 2019
- 2019
- [c11]Akshay Krishnamurthy, John Langford, Aleksandrs Slivkins, Chicheng Zhang:
Contextual bandits with continuous actions: Smoothing, zooming, and adapting. COLT 2019: 2025-2027 - [c10]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: 624-633 - [c9]Chicheng Zhang, Alekh Agarwal, Hal Daumé III, John Langford, Sahand Negahban:
Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback. ICML 2019: 7335-7344 - [i13]Chicheng Zhang, Alekh Agarwal, Hal Daumé III, John Langford, Sahand N. Negahban:
Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback. CoRR abs/1901.00301 (2019) - [i12]Akshay Krishnamurthy, John Langford, Aleksandrs Slivkins, Chicheng Zhang:
Contextual Bandits with Continuous Actions: Smoothing, Zooming, and Adapting. CoRR abs/1902.01520 (2019) - [i11]Alina Beygelzimer, Dávid Pál, Balázs Szörényi, Devanathan Thiruvenkatachari, Chen-Yu Wei, Chicheng Zhang:
Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case. CoRR abs/1902.02244 (2019) - [i10]Jordan T. Ash, Chicheng Zhang, Akshay Krishnamurthy, John Langford, Alekh Agarwal:
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds. CoRR abs/1906.03671 (2019) - 2018
- [c8]Chicheng Zhang:
Efficient active learning of sparse halfspaces. COLT 2018: 1856-1880 - [i9]Chicheng Zhang, Eran A. Mukamel, Kamalika Chaudhuri:
Spectral Learning of Binomial HMMs for DNA Methylation Data. CoRR abs/1802.02498 (2018) - [i8]Chicheng Zhang:
Efficient active learning of sparse halfspaces. CoRR abs/1805.02350 (2018) - 2017
- [b1]Chicheng Zhang:
Active Learning and Confidence-rated Prediction. University of California, San Diego, USA, 2017 - [c7]Alina Beygelzimer, Francesco Orabona, Chicheng Zhang:
Efficient Online Bandit Multiclass Learning with Õ(√T) Regret. ICML 2017: 488-497 - [c6]Songbai Yan, Chicheng Zhang:
Revisiting Perceptron: Efficient and Label-Optimal Learning of Halfspaces. NIPS 2017: 1056-1066 - [i7]Songbai Yan, Chicheng Zhang:
Revisiting Perceptron: Efficient and Label-Optimal Active Learning of Halfspaces. CoRR abs/1702.05581 (2017) - [i6]Alina Beygelzimer, Francesco Orabona, Chicheng Zhang:
Efficient Online Bandit Multiclass Learning with $\tilde{O}(\sqrt{T})$ Regret. CoRR abs/1702.07958 (2017) - 2016
- [c5]Chicheng Zhang, Kamalika Chaudhuri:
The Extended Littlestone's Dimension for Learning with Mistakes and Abstentions. COLT 2016: 1584-1616 - [c4]Alina Beygelzimer, Daniel J. Hsu, John Langford, Chicheng Zhang:
Search Improves Label for Active Learning. NIPS 2016: 3342-3350 - [i5]Alina Beygelzimer, Daniel J. Hsu, John Langford, Chicheng Zhang:
Search Improves Label for Active Learning. CoRR abs/1602.07265 (2016) - [i4]Chicheng Zhang, Kamalika Chaudhuri:
The Extended Littlestone's Dimension for Learning with Mistakes and Abstentions. CoRR abs/1604.06162 (2016) - 2015
- [c3]Chicheng Zhang, Jimin Song, Kamalika Chaudhuri, Kevin C. Chen:
Spectral Learning of Large Structured HMMs for Comparative Epigenomics. NIPS 2015: 469-477 - [c2]Chicheng Zhang, Kamalika Chaudhuri:
Active Learning from Weak and Strong Labelers. NIPS 2015: 703-711 - [i3]Chicheng Zhang, Jimin Song, Kevin C. Chen, Kamalika Chaudhuri:
Spectral Learning of Large Structured HMMs for Comparative Epigenomics. CoRR abs/1506.01744 (2015) - [i2]Chicheng Zhang, Kamalika Chaudhuri:
Active Learning from Weak and Strong Labelers. CoRR abs/1510.02847 (2015) - 2014
- [c1]Chicheng Zhang, Kamalika Chaudhuri:
Beyond Disagreement-Based Agnostic Active Learning. NIPS 2014: 442-450 - [i1]Chicheng Zhang, Kamalika Chaudhuri:
Beyond Disagreement-based Agnostic Active Learning. CoRR abs/1407.2657 (2014)
Coauthor Index
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last updated on 2024-10-07 21:15 CEST by the dblp team
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