Obserwuj
Chicheng Zhang
Chicheng Zhang
University of Arizona
Zweryfikowany adres z cs.arizona.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Deep batch active learning by diverse, uncertain gradient lower bounds
JT Ash, C Zhang, A Krishnamurthy, J Langford, A Agarwal
arXiv preprint arXiv:1906.03671, 2019
8532019
Active learning from weak and strong labelers
C Zhang, K Chaudhuri
Advances in Neural Information Processing Systems 28, 2015
1142015
Beyond disagreement-based agnostic active learning
C Zhang, K Chaudhuri
Advances in Neural Information Processing Systems 27, 2014
992014
Contextual bandits with continuous actions: Smoothing, zooming, and adapting
A Krishnamurthy, J Langford, A Slivkins, C Zhang
Journal of Machine Learning Research 21 (137), 1-45, 2020
802020
Revisiting perceptron: Efficient and label-optimal learning of halfspaces
S Yan, C Zhang
Advances in Neural Information Processing Systems 30, 2017
612017
Efficient active learning of sparse halfspaces with arbitrary bounded noise
C Zhang, J Shen, P Awasthi
Advances in Neural Information Processing Systems 33, 7184-7197, 2020
402020
Efficient active learning of sparse halfspaces
C Zhang
Conference on Learning Theory, 1856-1880, 2018
402018
Efficient contextual bandits with continuous actions
M Majzoubi, C Zhang, R Chari, A Krishnamurthy, J Langford, A Slivkins
Advances in Neural Information Processing Systems 33, 349-360, 2020
352020
Warm-starting contextual bandits: Robustly combining supervised and bandit feedback
C Zhang, A Agarwal, H Daumé III, J Langford, SN Negahban
arXiv preprint arXiv:1901.00301, 2019
342019
Search improves label for active learning
A Beygelzimer, DJ Hsu, J Langford, C Zhang
Advances in neural information processing systems 29, 2016
342016
Active fairness auditing
T Yan, C Zhang
International Conference on Machine Learning, 24929-24962, 2022
312022
Multitask bandit learning through heterogeneous feedback aggregation
Z Wang, C Zhang, MK Singh, L Riek, K Chaudhuri
International Conference on Artificial Intelligence and Statistics, 1531-1539, 2021
29*2021
The extended littlestone’s dimension for learning with mistakes and abstentions
C Zhang, K Chaudhuri
Conference on learning theory, 1584-1616, 2016
292016
Improved algorithms for efficient active learning halfspaces with massart and tsybakov noise
C Zhang, Y Li
Conference on Learning Theory, 4526-4527, 2021
272021
Efficient Online Bandit Multiclass Learning with Regret
A Beygelzimer, F Orabona, C Zhang
International Conference on Machine Learning, 488-497, 2017
232017
Active online learning with hidden shifting domains
Y Chen, H Luo, T Ma, C Zhang
International Conference on Artificial Intelligence and Statistics, 2053-2061, 2021
21*2021
Provably efficient multi-task reinforcement learning with model transfer
C Zhang, Z Wang
Advances in Neural Information Processing Systems 34, 19771-19783, 2021
182021
Crush optimism with pessimism: Structured bandits beyond asymptotic optimality
KS Jun, C Zhang
Advances in Neural Information Processing Systems 33, 6366-6376, 2020
182020
Bandit multiclass linear classification: Efficient algorithms for the separable case
A Beygelzimer, D Pal, B Szorenyi, D Thiruvenkatachari, CY Wei, C Zhang
International Conference on Machine Learning, 624-633, 2019
152019
Popart: Efficient sparse regression and experimental design for optimal sparse linear bandits
K Jang, C Zhang, KS Jun
Advances in Neural Information Processing Systems 35, 2102-2114, 2022
142022
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