Grigoris Velegkas

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Citations	95	94
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Amin KarbasiYale UniversityVerified email at yale.edu
Alkis KalavasisYale UniversityVerified email at yale.edu
Mingfei ZhaoGoogle ResearchVerified email at google.com
Yang CaiAssociate Professor of Computer Science and Economics, Yale UniversityVerified email at yale.edu
Vahab MirrokniGoogle Fellow, VP, Google ResearchVerified email at google.com
Hossein EsfandiariSenior Research Scientist at GoogleVerified email at seas.harvard.edu
Felix ZhouPhD Student, Yale UniversityVerified email at yale.edu
Shay Moran(Math, CS, & DDS, Technion) & (Google Research)Verified email at google.com
Steve HannekePurdue UniversityVerified email at ttic.edu
Andreas KrauseProfessor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
Dirk BergemannDouglass and Marion Campbell Professor of Economics, Yale UniversityVerified email at yale.edu
Idan AttiasPhD candidate, Ben Gurion UniversityVerified email at post.bgu.ac.il
Zhuoran YangYale UniversityVerified email at yale.edu
Lin F. Yang (杨林)Assistant Professor, Department of Electrical and Computer Engineering @ UCLAVerified email at ee.ucla.edu
Kasper Green LarsenProfessor, Computer Science, Aarhus UniversityVerified email at cs.au.dk

Grigoris Velegkas

Yale University

Verified email at yale.edu - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
An Efficient ∊-BIC to BIC Transformation and Its Application to Black-Box Reduction in Revenue Maximization Y Cai, A Oikonomou, G Velegkas, M Zhao Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms (SODA …, 2021	23*	2021
Statistical indistinguishability of learning algorithms A Kalavasis, A Karbasi, S Moran, G Velegkas International Conference on Machine Learning, 15586-15622, 2023	14	2023
Replicable bandits H Esfandiari, A Kalavasis, A Karbasi, A Krause, V Mirrokni, G Velegkas arXiv preprint arXiv:2210.01898, 2022	12	2022
Replicable clustering H Esfandiari, A Karbasi, V Mirrokni, G Velegkas, F Zhou Advances in Neural Information Processing Systems 36, 2024	8	2024
Is Selling Complete Information (Approximately) Optimal? D Bergemann, Y Cai, G Velegkas, M Zhao Proceedings of the 23rd ACM Conference on Economics and Computation, 608-663, 2022	8	2022
How to sell information optimally: An algorithmic study Y Cai, G Velegkas arXiv preprint arXiv:2011.14570, 2020	8	2020
Optimal learners for realizable regression: Pac learning and online learning I Attias, S Hanneke, A Kalavasis, A Karbasi, G Velegkas Advances in Neural Information Processing Systems 36, 2023	7	2023
Multiclass learnability beyond the pac framework: Universal rates and partial concept classes A Kalavasis, G Velegkas, A Karbasi Advances in Neural Information Processing Systems 35, 20809-20822, 2022	7	2022
Reinforcement learning with logarithmic regret and policy switches G Velegkas, Z Yang, A Karbasi Advances in Neural Information Processing Systems 35, 36040-36053, 2022	4*	2022
Replicability in reinforcement learning A Karbasi, G Velegkas, L Yang, F Zhou Advances in Neural Information Processing Systems 36, 2024	2	2024
Universal rates for interactive learning S Hanneke, A Karbasi, S Moran, G Velegkas Advances in Neural Information Processing Systems 35, 28657-28669, 2022	2	2022
Replicable Learning of Large-Margin Halfspaces A Kalavasis, A Karbasi, KG Larsen, G Velegkas, F Zhou arXiv preprint arXiv:2402.13857, 2024		2024

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