Lev Reyzin
Lev Reyzin
Associate Professor, MSCS, UIC
Verified email at math.uic.edu - Homepage
TitleCited byYear
Contextual bandits with linear payoff functions
W Chu, L Li, L Reyzin, RE Schapire
International Conference on Artificial Intelligence and Statistics, 2011
3622011
How boosting the margin can also boost classifier complexity
L Reyzin, RE Schapire
International Conference on Machine Learning, 753-760, 2006
2242006
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
1682011
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
1442011
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
1312017
Non-stochastic bandit slate problems
S Kale, L Reyzin, RE Schapire
Neural Information Processing Systems, 1054-1062, 2010
702010
Network construction with subgraph connectivity constraints
D Angluin, J Aspnes, L Reyzin
Journal of Combinatorial Optimization 29 (2), 418–432, 2015
42*2015
Data Stability in Clustering: A Closer Look
S Ben-David, L Reyzin
Theoretical Computer Science 558, 51–61, 2014
39*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
382007
Boosting on a Budget: Sampling for Feature-Efficient Prediction
L Reyzin
International Conference on Machine Learning, 2011
28*2011
On the longest path algorithm for reconstructing trees from distance matrices
L Reyzin, N Srivastava
Information processing letters 101 (3), 98-100, 2007
242007
Anti-coordination games and stable graph colorings
J Kun, B Powers, L Reyzin
Symposium on Algorithmic Game Theory, 122-133, 2013
212013
Shift-Pessimistic Active Learning Using Robust Bias-Aware Prediction
A Liu, L Reyzin, BD Ziebart
Conference on Artificial Intelligence, 2015
20*2015
Optimally learning social networks with activations and suppressions
D Angluin, J Aspnes, L Reyzin
Theoretical Computer Science 411 (29-30), 2729-2740, 2010
192010
On the Computational Complexity of MapReduce
B Fish, J Kun, ÁD Lelkes, L Reyzin, G Turán
Symposium on Distributed Computing, 2015
172015
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
162011
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
152007
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
102010
On the Complexity of Learning from Label Proportions
B Fish, L Reyzin
International Joint Conference on Artificial Intelligence, 2017
82017
Improved Algorithms for Distributed Boosting
J Cooper, L Reyzin
Conference on Communication, Control, and Computing, 2017
82017
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Articles 1–20