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Lev Reyzin
Lev Reyzin
Professor of Mathematics, Statistics, and Computer Science; University of Illinois at Chicago
Verified email at uic.edu - Homepage
Title
Cited by
Cited by
Year
Contextual bandits with linear payoff functions
W Chu, L Li, L Reyzin, RE Schapire
International Conference on Artificial Intelligence and Statistics, 2011
12702011
Contextual bandit algorithms with supervised learning guarantees
A Beygelzimer, J Langford, L Li, L Reyzin, RE Schapire
International Conference on Artificial Intelligence and Statistics, 2011
3702011
Efficient optimal learning for contextual bandits
M Dudik, D Hsu, S Kale, N Karampatziakis, J Langford, L Reyzin, T Zhang
Conference on Uncertainty in Artificial Intelligence, 2011
3682011
How boosting the margin can also boost classifier complexity
L Reyzin, RE Schapire
International Conference on Machine Learning, 2006
2982006
Statistical algorithms and a lower bound for detecting planted cliques
V Feldman, E Grigorescu, L Reyzin, SS Vempala, Y Xiao
Journal of the ACM, 2017
2932017
Non-stochastic bandit slate problems
S Kale, L Reyzin, RE Schapire
Neural Information Processing Systems, 2010
1012010
Learning and verifying graphs using queries with a focus on edge counting
L Reyzin, N Srivastava
International Conference on Algorithmic Learning Theory, 2007
722007
Network construction with subgraph connectivity constraints
D Angluin, J Aspnes, L Reyzin
Journal of Combinatorial Optimization, 2015
66*2015
Data stability in clustering: a closer look
S Ben-David, L Reyzin
Theoretical Computer Science, 2014
52*2014
Anti-coordination games and stable graph colorings
J Kun, B Powers, L Reyzin
Symposium on Algorithmic Game Theory, 2013
452013
On the longest path algorithm for reconstructing trees from distance matrices
L Reyzin, N Srivastava
Information processing letters, 2007
422007
Boosting on a budget: sampling for feature-efficient prediction
L Reyzin
International Conference on Machine Learning, 2011
38*2011
Statistical queries and statistical algorithms: foundations and applications
L Reyzin
arXiv preprint arXiv:2004.00557, 2020
352020
On the computational complexity of MapReduce
B Fish, J Kun, ÁD Lelkes, L Reyzin, G Turán
Symposium on Distributed Computing, 2015
322015
On noise-tolerant learning of sparse parities and related problems
E Grigorescu, L Reyzin, S Vempala
International Conference on Algorithmic Learning Theory, 2011
312011
Unprovability comes to machine learning
L Reyzin
Nature, 2019
272019
Shift-pessimistic active learning using robust bias-aware prediction
A Liu, L Reyzin, BD Ziebart
AAAI Conference on Artificial Intelligence, 2015
26*2015
On the complexity of learning a class ratio from unlabeled data
B Fish, L Reyzin
Journal of Artificial Intelligence Research, 2020
21*2020
Improved algorithms for distributed boosting
J Cooper, L Reyzin
Allerton Conference on Communication, Control, and Computing, 2017
212017
Learning large-alphabet and analog circuits with value injection queries
D Angluin, J Aspnes, J Chen, L Reyzin
Machine Learning, 2008
202008
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Articles 1–20