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Dive into the research topics where Mark Braverman is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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AF: Small: Noise Across Computational Settings
NSF - National Science Foundation
9/1/15 → 8/31/18
Project: Research project
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ICES: Small: Collaborative Research: Data-driven mechanisms in healthcare
NSF - National Science Foundation
9/1/12 → 8/31/15
Project: Research project
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CAREER: Coding and Information Theory for Interactive Computing
NSF - National Science Foundation
1/15/12 → 12/31/16
Project: Research project
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Improved Monotonicity Testers via Hypercube Embeddings
Braverman, M., Khot, S., Kindler, G. & Minzer, D., Jan 1 2023, 14th Innovations in Theoretical Computer Science Conference, ITCS 2023. Kalai, Y. T. (ed.). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 25. (Leibniz International Proceedings in Informatics, LIPIcs; vol. 251).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Rounding via Low Dimensional Embeddings
Braverman, M. & Minzer, D., Jan 1 2023, 14th Innovations in Theoretical Computer Science Conference, ITCS 2023. Kalai, Y. T. (ed.). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 26. (Leibniz International Proceedings in Informatics, LIPIcs; vol. 251).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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An Invariance Principle for the Multi-slice, with Applications
Braverman, M., Khot, S., Lifshitz, N. & Minzer, D., 2022, Proceedings - 2021 IEEE 62nd Annual Symposium on Foundations of Computer Science, FOCS 2021. IEEE Computer Society, p. 228-236 9 p. (Proceedings - Annual IEEE Symposium on Foundations of Computer Science, FOCS; vol. 2022-February).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations -
Data-driven incentive alignment in capitation schemes
Braverman, M. & Chassang, S., Mar 2022, In: Journal of Public Economics. 207, 104584.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Max-Weight Online Stochastic Matching: Improved Approximations Against the Online Benchmark
Braverman, M., Derakhshan, M. & Molina Lovett, A., Jul 12 2022, EC 2022 - Proceedings of the 23rd ACM Conference on Economics and Computation. Association for Computing Machinery, Inc, p. 967-985 19 p. (EC 2022 - Proceedings of the 23rd ACM Conference on Economics and Computation).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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