Lev Reyzin
Lev Reyzin
Associate Professor, MSCS, UIC
Verified email at math.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
4232011
How boosting the margin can also boost classifier complexity
L Reyzin, RE Schapire
International Conference on Machine Learning, 753-760, 2006
2332006
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
1872011
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
1562011
Statistical algorithms and a lower bound for detecting planted cliques
V Feldman, E Grigorescu, L Reyzin, SS Vempala, Y Xiao
Journal of the ACM 64 (2), 8, 2017
1452017
Non-stochastic bandit slate problems
S Kale, L Reyzin, RE Schapire
Neural Information Processing Systems, 1054-1062, 2010
712010
Network construction with subgraph connectivity constraints
D Angluin, J Aspnes, L Reyzin
Journal of Combinatorial Optimization 29 (2), 418–432, 2015
47*2015
Data stability in clustering: a closer look
S Ben-David, L Reyzin
Theoretical Computer Science 558, 51–61, 2014
41*2014
Learning and verifying graphs using queries with a focus on edge counting
L Reyzin, N Srivastava
International Conference on Algorithmic Learning Theory, 285-297, 2007
412007
Boosting on a budget: sampling for feature-efficient prediction
L Reyzin
International Conference on Machine Learning, 2011
30*2011
On the longest path algorithm for reconstructing trees from distance matrices
L Reyzin, N Srivastava
Information processing letters 101 (3), 98-100, 2007
262007
Anti-coordination games and stable graph colorings
J Kun, B Powers, L Reyzin
Symposium on Algorithmic Game Theory, 122-133, 2013
252013
Shift-pessimistic active learning using robust bias-aware prediction
A Liu, L Reyzin, BD Ziebart
Conference on Artificial Intelligence, 2015
23*2015
On the computational complexity of MapReduce
B Fish, J Kun, ÁD Lelkes, L Reyzin, G Turán
Symposium on Distributed Computing, 2015
182015
On noise-tolerant learning of sparse parities and related problems
E Grigorescu, L Reyzin, S Vempala
International Conference on Algorithmic Learning Theory, 413-424, 2011
172011
Learning large-alphabet and analog circuits with value injection queries
D Angluin, J Aspnes, J Chen, L Reyzin
Conference on Learning Theory, 51-65, 2007
162007
Optimally learning social networks with activations and suppressions
D Angluin, J Aspnes, L Reyzin
Theoretical computer science 411 (29-30), 2729-2740, 2010
152010
Improved algorithms for distributed boosting
J Cooper, L Reyzin
Conference on Communication, Control, and Computing, 2017
112017
Recovering social networks by observing votes
B Fish, Y Huang, L Reyzin
Proceedings of the 2016 international conference on autonomous agents …, 2016
112016
Lower bounds on learning random structures with statistical queries
D Angluin, D Eisenstat, AL Kontorovich, L Reyzin
International Conference on Algorithmic Learning Theory, 194-208, 2010
112010
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Articles 1–20