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Yinglun Zhu
Yinglun Zhu
Assistant Professor of ECE/CSE at the University of California, Riverside
Verified email at ucr.edu - Homepage
Title
Cited by
Cited by
Year
Contextual bandits with large action spaces: Made practical
Y Zhu, DJ Foster, J Langford, P Mineiro
International Conference on Machine Learning, 27428-27453, 2022
222022
On regret with multiple best arms
Y Zhu, R Nowak
Advances in Neural Information Processing Systems 33, 9050-9060, 2020
202020
Efficient active learning with abstention
Y Zhu, R Nowak
Advances in Neural Information Processing Systems 35, 35379-35391, 2022
172022
Pure exploration in kernel and neural bandits
Y Zhu, D Zhou, R Jiang, Q Gu, R Willett, R Nowak
Advances in neural information processing systems 34, 11618-11630, 2021
142021
Contextual bandits with smooth regret: Efficient learning in continuous action spaces
Y Zhu, P Mineiro
International Conference on Machine Learning, 27574-27590, 2022
132022
ReabsNet: Detecting and revising adversarial examples
J Chen, Z Meng, C Sun, W Tang, Y Zhu
arXiv preprint arXiv:1712.08250, 2017
132017
Pareto optimal model selection in linear bandits
Y Zhu, R Nowak
International Conference on Artificial Intelligence and Statistics, 6793-6813, 2022
122022
Near instance optimal model selection for pure exploration linear bandits
Y Zhu, J Katz-Samuels, R Nowak
International Conference on Artificial Intelligence and Statistics, 6735-6769, 2022
62022
Robust outlier arm identification
Y Zhu, S Katariya, R Nowak
International Conference on Machine Learning, 11566-11575, 2020
42020
Labelbench: A comprehensive framework for benchmarking label-efficient learning
J Zhang, Y Chen, G Canal, S Mussmann, Y Zhu, SS Du, K Jamieson, ...
arXiv preprint arXiv:2306.09910, 2023
32023
Active learning with neural networks: Insights from nonparametric statistics
Y Zhu, R Nowak
Advances in Neural Information Processing Systems 35, 142-155, 2022
12022
Infinite action contextual bandits with reusable data exhaust
M Rucker, Y Zhu, P Mineiro
International Conference on Machine Learning, 29259-29274, 2023
2023
Interactive Machine Learning: From Theory to Scale
Y Zhu
University of Wisconsin-Madison, 2023
2023
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