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In my field, authors are ordered alphabetically by last name, and conferences generally constitute the main publication venue. I have grouped conference and journal versions of my papers together and ordered my papers in r.c.o. by year of most recent publication. Links point to pdfs of the most recent versions of the papers.

Clicking on an ▸ will display relevant notes or errata for the corresponding paper.


  1. B. Fish, L. Reyzin, B. I. P. Rubinstein. Sublinear-Time Adaptive Data Analysis.
  2. S. Heinecke, W. Perkins, L. Reyzin. On the Resilience of Bipartite Networks.


  1. Y. Huang, M. V. Janardhanan, L. Reyzin. Network Construction with Ordered Constraints. FSTTCS 2017
  2. B. Fish, L. Reyzin. On the Complexity of Learning from Label Proportions. IJCAI 2017
  3. J. Cooper, L. Reyzin. Improved Algorithms for Distributed Boosting. Allerton 2017
  4. S. Cole, S. Friedland, L. Reyzin. A Simple Spectral Algorithm for Recovering Planted Partitions. Spec. Matrices 2017
  5. B. Fish, L. Reyzin. Open Problem: Meeting Times for Learning Random Automata. COLT 2017
  6. V. Feldman, E. Grigorescu, L. Reyzin, S. S. Vempala, Y. Xiao. Statistical Algorithms and a Lower Bound for Detecting Planted Cliques. J. ACM 2017 and STOC 2013
  7. B. Fish, Y. Huang, L. Reyzin. Recovering Social Networks by Observing Votes. AAMAS 2016
  8. A. Gutfraind, J. Kun, Á. D. Lelkes, L. Reyzin. Network Installation under Convex Costs. J. Complex Netw. 2016
  9. B. Fish, J. Kun, Á. D. Lelkes, L. Reyzin, G. Turán. On the Computational Complexity of MapReduce. DISC 2015
  10. Á. D. Lelkes, L. Reyzin. Interactive Clustering of Linear Classes and Cryptographic Lower Bounds. ALT 2015
  11. Y. Huang, B. Powers, L. Reyzin. Training-Time Optimization of a Budgeted Booster. IJCAI 2015
  12. A. Liu, L. Reyzin, B. D. Ziebart. Shift-Pessimistic Active Learning using Robust Bias-Aware Prediction. AAAI 2015
  13. J. Kun, L. Reyzin. Open Problem: Learning Quantum Circuits with Queries. COLT 2015
  14. D. Angluin, J. Aspnes, L. Reyzin. Network Construction with Subgraph Connectivity Constraints. J. Comb. Optim. 2015 and ALT 2010
  15. J. Kun, L. Reyzin. On Coloring Resilient Graphs. MFCS 2014
  16. L. Reyzin. On Boosting Sparse Parities. AAAI 2014
  17. S. Ben-David, L. Reyzin. Data Stability in Clustering: A Closer Look. Theor. Comp. Sci. 2014 and ALT 2012
  18. J. Kun, B. Powers, L. Reyzin Anti-Coordination Games and Stable Graph Colorings. SAGT 2013
  19. M. Dudik, D. Hsu, S. Kale, N. Karampatziakis, J. Langford, L. Reyzin, T. Zhang. Efficient Optimal Learning for Contextual Bandits. UAI 2011
  20. L. Reyzin. Boosting on a Budget: Sampling for Feature-Efficient Prediction. ICML 2011
  21. E. Grigorescu, L. Reyzin, S. Vempala. On Noise-Tolerant Learning of Sparse Parities and Related Problems. ALT 2011
  22. A. Beygelzimer, J. Langford, L. Li, L. Reyzin, R. E. Schapire. Contextual Bandit Algorithms with Supervised Learning Guarantees. AISTATAS 2011 (notable paper)
  23. W. Chu, L. Li, L. Reyzin, R. E. Schapire. Contextual Bandits with Linear Payoff Functions. AISTATS 2011
  24. L. Reyzin. A Review of "Famous Puzzles of Great Mathematicians" by Miodrag S. Petkoviç. ACM SIGACT News 2011
  25. D. Angluin, J. Aspnes, L. Reyzin. Optimally Learning Social Networks with Activations and Suppressions. Theor. Comp. Sci. 2010 and ALT 2008
  26. S. Kale, L. Reyzin, R. E. Schapire. Non-Stochastic Bandit Slate Problems. NIPS 2010
  27. D. Angluin, D. Eisenstat, L. Kontorovich, L. Reyzin. Lower Bounds on Learning Random Structures with Statistical Queries. ALT 2010
  28. D. Clarke, D. Eppstein, K. Ghasemloo, L. Reyzin, A. Salamon, P. Shor, A. Sterling, S. Venkatasubramanian. Questions Answered. In Theory. ACM SIGACT News 2010
  29. L. Reyzin. Active Learning of Interaction Networks. Yale University Doctoral Dissertation 2009
  30. D. Angluin, J. Aspnes, J. Chen, D. Eisenstat, Lev Reyzin. Learning Acyclic Probabilistic Circuits Using Test Paths. J. Mach. Learn. Res. 2009 and COLT 2008
  31. D. Angluin, L. Becerra-Bonache, A. H. Dediu, L. Reyzin Learning Finite Automata Using Label Queries. ALT 2009
  32. D. Angluin, J. Aspnes, J. Chen, L. Reyzin. Learning Large-Alphabet and Analog Circuits with Value Injection Queries. Mach. Learn. 2008 and COLT 2007 (best student paper)
  33. L. Reyzin, N. Srivastava. On the Longest Path Algorithm for Reconstructing Trees from Distance Matrices. Inform. Process. Lett. 2007
  34. L. Reyzin, N. Srivastava. Learning and Verifying Graphs Using Queries with a Focus on Edge Counting. ALT 2007
  35. L. Reyzin, R. E. Schapire. How Boosting the Margin Can Also Boost Classifier Complexity. ICML 2006 (best student paper and outstanding paper)