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Publication search results
found 63 matches
- 2024
- Yinan Li, Chicheng Zhang:
Efficient Active Learning Halfspaces with Tsybakov Noise: A Non-convex Optimization Approach. AISTATS 2024: 4744-4752 - 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
- Hao Qin, Kwang-Sung Jun, Chicheng Zhang:
Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded Rewards. NeurIPS 2023 - Zhiwu Guo, Chicheng Zhang, Ming Li, Marwan Krunz:
Fair Coexistence of Heterogeneous Networks: A Novel Probabilistic Multi-Armed Bandit Approach. WiOpt 2023: 1-8 - Hao Qin, Kwang-Sung Jun, Chicheng Zhang:
Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded Rewards. CoRR abs/2304.14989 (2023) - Yinan Li, Chicheng Zhang:
Efficient Active Learning Halfspaces with Tsybakov Noise: A Non-convex Optimization Approach. CoRR abs/2310.15411 (2023) - Yichen Li, Chicheng Zhang:
Ensemble-based Interactive Imitation Learning. CoRR abs/2312.16860 (2023) - 2022
- Tom Yan, Chicheng Zhang:
Margin-distancing for safe model explanation. AISTATS 2022: 5104-5134 - Zhi Wang, Chicheng Zhang, Kamalika Chaudhuri:
Thompson Sampling for Robust Transfer in Multi-Task Bandits. ICML 2022: 23363-23416 - Tom Yan, Chicheng Zhang:
Active fairness auditing. ICML 2022: 24929-24962 - Kyoungseok Jang, Chicheng Zhang, Kwang-Sung Jun:
PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits. NeurIPS 2022 - Yichen Li, Chicheng Zhang:
On Efficient Online Imitation Learning via Classification. NeurIPS 2022 - Tianchi Zhao, Chicheng Zhang, Ming Li:
Hierarchical Unimodal Bandits. ECML/PKDD (4) 2022: 269-283 - Tom Yan, Chicheng Zhang:
Margin-distancing for safe model explanation. CoRR abs/2202.11266 (2022) - Tom Yan, Chicheng Zhang:
Active Fairness Auditing. CoRR abs/2206.08450 (2022) - Zhi Wang, Chicheng Zhang, Kamalika Chaudhuri:
Thompson Sampling for Robust Transfer in Multi-Task Bandits. CoRR abs/2206.08556 (2022) - Yichen Li, Chicheng Zhang:
On Efficient Online Imitation Learning via Classification. CoRR abs/2209.12868 (2022) - 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
- Yining Chen, Haipeng Luo, Tengyu Ma, Chicheng Zhang:
Active Online Learning with Hidden Shifting Domains. AISTATS 2021: 2053-2061 - Zhi Wang, Chicheng Zhang, Manish Kumar Singh, Laurel D. Riek, Kamalika Chaudhuri:
Multitask Bandit Learning Through Heterogeneous Feedback Aggregation. AISTATS 2021: 1531-1539 - Jie Shen, Chicheng Zhang:
Attribute-Efficient Learning of Halfspaces with Malicious Noise: Near-Optimal Label Complexity and Noise Tolerance. ALT 2021: 1072-1113 - Chicheng Zhang, Yinan Li:
Improved Algorithms for Efficient Active Learning Halfspaces with Massart and Tsybakov Noise. COLT 2021: 4526-4527 - Chicheng Zhang, Zhi Wang:
Provably efficient multi-task reinforcement learning with model transfer. NeurIPS 2021: 19771-19783 - Chicheng Zhang, Yinan Li:
Improved Algorithms for Efficient Active Learning Halfspaces with Massart and Tsybakov noise. CoRR abs/2102.05312 (2021) - Chicheng Zhang, Zhi Wang:
Provably Efficient Multi-Task Reinforcement Learning with Model Transfer. CoRR abs/2107.08622 (2021) - Dharma KC, Chicheng Zhang:
Improving the trustworthiness of image classification models by utilizing bounding-box annotations. CoRR abs/2108.10131 (2021) - 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
- 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) - 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
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