Lev Reyzin
Impact in
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- Advanced Bandit Algorithms Research
- Artificial Intelligence top 5%
- Machine Learning and Algorithms
- Reinforcement Learning in Robotics
- Machine Learning and Data Classification
- Data Stream Mining Techniques
Papers in
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- Complexity and Algorithms in Graphs 16
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- Machine Learning and Algorithms 26
- Machine Learning and Data Classification 9
- Algorithms and Data Compression 6
- Cryptography and Data Security 4
- Imbalanced Data Classification Techniques 4
- Co-authors
- Robert E. Schapire (5 shared papers)Lihong Li (1 shared paper)Wei Chu (1 shared paper)Elena Grigorescu (3 shared papers)Nikhil Srivastava (2 shared papers)Santosh Vempala (3 shared papers)Vitaly Feldman (2 shared papers)Ying Xiao (2 shared papers)
- Journals
- Theoretical Computer Science (2 papers)Lecture notes in computer science (11 papers)Machine Learning (1 paper)Journal of Complex Networks (1 paper)Journal of Machine Learning Research (1 paper)
- Partner nations
- United StatesFranceIsrael
In The Last Decade
Lev Reyzin
39 papers receiving 756 citations
Peers
Comparison fields: 5 of 89
- Management Science and Operations Research 301
- Artificial Intelligence 506
- Computational Mathematics 9
- Computational Theory and Mathematics 131
- Computer Networks and Communications 171
Countries citing papers authored by Lev Reyzin
This map shows the geographic impact of Lev Reyzin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lev Reyzin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lev Reyzin more than expected).
Fields of papers citing papers by Lev Reyzin
This network shows the impact of papers produced by Lev Reyzin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lev Reyzin. The network helps show where Lev Reyzin may publish in the future.
Co-authors
The 25 scholars most cited alongside Lev Reyzin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Contextual Bandits with Linear Payoff Functions | 2011 | 266 |
| 2 | 2006 | 166 | |
| 3 | 2013 | 47 | |
| 4 | 2017 | 46 | |
| 5 | Non-Stochastic Bandit Slate Problems | 2010 | 35 |
| 6 | 2007 | 31 | |
| 7 | 2010 | 20 | |
| 8 | 2006 | 15 | |
| 9 | Proceedings of the 28th International Conference on Algorithmic Learning Theory | 2017 | 12 |
| 10 | 2015 | 12 | |
| 11 | 2011 | 12 | |
| 12 | Boosting on a Budget: Sampling for Feature-Efficient Prediction | 2011 | 12 |
| 13 | 2013 | 11 | |
| 14 | 2013 | 10 | |
| 15 | 2014 | 10 | |
| 16 | 2019 | 10 | |
| 17 | 2015 | 9 | |
| 18 | An Optimal High Probability Algorithm for the Contextual Bandit Problem | 2010 | 9 |
| 19 | 2019 | 8 | |
| 20 | 2017 | 8 |
About Lev Reyzin
Lev Reyzin is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Networks and Communications, Management Science and Operations Research and Organizational Behavior and Human Resource Management, having authored 41 papers that have together received 800 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (26 papers), Complexity and Algorithms in Graphs (16 papers), Optimization and Search Problems (11 papers), Machine Learning and Data Classification (9 papers), Algorithms and Data Compression (6 papers), Advanced Bandit Algorithms Research (4 papers), Cryptography and Data Security (4 papers) and Imbalanced Data Classification Techniques (4 papers). The work is most often cited by research in Management Science and Operations Research (301 citations), Artificial Intelligence (506 citations), Computational Mathematics (9 citations), Computational Theory and Mathematics (131 citations) and Computer Networks and Communications (171 citations). Lev Reyzin has collaborated with scholars based in United States, France and Israel. Frequent co-authors include Robert E. Schapire, Lihong Li, Wei Chu, Elena Grigorescu, Nikhil Srivastava, Santosh Vempala, Vitaly Feldman, Ying Xiao, Dana Angluin and James Aspnes. Their work appears in journals such as Theoretical Computer Science, Lecture notes in computer science, Machine Learning, Journal of Complex Networks and Journal of Machine Learning Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.