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Chicheng Zhang
Chicheng Zhang
Verified email at cs.arizona.edu - Homepage
Title
Cited by
Cited by
Year
Deep batch active learning by diverse, uncertain gradient lower bounds
JT Ash, C Zhang, A Krishnamurthy, J Langford, A Agarwal
International Conference on Learning Representations, 2020
1972020
Beyond disagreement-based agnostic active learning
C Zhang, K Chaudhuri
Neural Information Processing Systems, 2014
882014
Active learning from weak and strong labelers
C Zhang, K Chaudhuri
Neural Information Processing Systems, 2015
812015
Contextual bandits with continuous actions: Smoothing, zooming, and adapting
A Krishnamurthy, J Langford, A Slivkins, C Zhang
Conference on Learning Theory, 2025-2027, 2019
412019
Revisiting perceptron: Efficient and label-optimal learning of halfspaces
S Yan, C Zhang
Neural Information Processing Systems, 2017
39*2017
Efficient active learning of sparse halfspaces
C Zhang
Conference on Learning Theory, 1856-1880, 2018
272018
Search improves label for active learning
A Beygelzimer, D Hsu, J Langford, C Zhang
Neural Information Processing Systems, 2016
272016
Efficient active learning of sparse halfspaces with arbitrary bounded noise
C Zhang, J Shen, P Awasthi
Neural Information Processing Systems, 2020
212020
Warm-starting contextual bandits: Robustly combining supervised and bandit feedback
C Zhang, A Agarwal, H Daumé III, J Langford, SN Negahban
International Conference on Machine Learning, 2019
202019
The extended Littlestone’s dimension for learning with mistakes and abstentions
C Zhang, K Chaudhuri
Conference on Learning Theory, 1584-1616, 2016
162016
Efficient Contextual Bandits with Continuous Actions
M Majzoubi, C Zhang, R Chari, A Krishnamurthy, J Langford, A Slivkins
Neural Information Processing Systems, 2020
122020
Efficient Online Bandit Multiclass Learning with \sqrt{T} Regret
A Beygelzimer, F Orabona, C Zhang
International Conference on Machine Learning, 488-497, 2017
112017
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
7*2021
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
72021
Improved algorithms for efficient active learning halfspaces with massart and tsybakov noise
C Zhang, Y Li
Proceedings of Machine Learning Research vol 134, 1-2, 2021
72021
Attribute-efficient learning of halfspaces with malicious noise: Near-optimal label complexity and noise tolerance
J Shen, C Zhang
Algorithmic Learning Theory, 2021
52021
Crush optimism with pessimism: Structured bandits beyond asymptotic optimality
KS Jun, C Zhang
Neural Information Processing Systems, 2020
52020
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
52019
Spectral learning of large structured hmms for comparative epigenomics
C Zhang, J Song, KC Chen, K Chaudhuri
Neural Information Processing Systems, 2015
52015
Stochastic multi-player bandit learning from player-dependent feedback
Z Wang, MK Singh, C Zhang, LD Riek, K Chaudhuri
ICML Workshop on Real World Experiment Design and Active Learning, 2020
42020
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