Alkis Kalavasis

Cited by

	All	Since 2019
Citations	102	101
h-index	7	7
i10-index	5	5

202020212022202320241 3 10 45 42

Public access

View all

5 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Dimitris FotakisProfessor, Electrical & Computer Eng., NTU AthensVerified email at cs.ntua.gr
Christos TzamosUniversity of Athens and University of Wisconsin-MadisonVerified email at di.uoa.gr
Amin KarbasiYale UniversityVerified email at yale.edu
Grigoris VelegkasYale UniversityVerified email at yale.edu
Vasilis KontonisUniversity of Wisconsin-MadisonVerified email at wisc.edu
Manolis ZampetakisYale UniversityVerified email at yale.edu
Shay Moran(Math, CS, & DDS, Technion) & (Google Research)Verified email at google.com
Vahab MirrokniGoogle Fellow, VP, Google ResearchVerified email at google.com
Hossein EsfandiariSenior Research Scientist at GoogleVerified email at seas.harvard.edu
Andreas KrauseProfessor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
Stratis IoannidisNortheastern UniversityVerified email at neu.edu
Jason MilionisColumbia UniversityVerified email at cs.columbia.edu
Idan AttiasPhD candidate, Ben Gurion UniversityVerified email at post.bgu.ac.il
Steve HannekePurdue UniversityVerified email at ttic.edu
Eleni PsaroudakiNational Technical University of AthensVerified email at mail.ntua.gr
Andreas GalanisUniversity of OxfordVerified email at cs.ox.ac.uk
Constantine CaramanisProfessor of Electrical and Computer Engineering, UT AustinVerified email at utexas.edu
Tuomas SandholmAngel Jordan University Professor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Ioannis AnagnostidesPhD student, Carnegie Mellon UniversityVerified email at andrew.cmu.edu

Alkis Kalavasis

Yale University

Verified email at yale.edu - Homepage

Theoretical Computer Science Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Efficient parameter estimation of truncated boolean product distributions D Fotakis, A Kalavasis, C Tzamos Conference on learning theory, 1586-1600, 2020	16	2020
Statistical indistinguishability of learning algorithms A Kalavasis, A Karbasi, S Moran, G Velegkas International Conference on Machine Learning 40, 2023	14	2023
Efficient algorithms for learning from coarse labels D Fotakis, A Kalavasis, V Kontonis, C Tzamos Conference on Learning Theory, 2060-2079, 2021	13	2021
Replicable bandits H Esfandiari, A Kalavasis, A Karbasi, A Krause, V Mirrokni, G Velegkas arXiv preprint arXiv:2210.01898, 2022	12	2022
Differentially private regression with unbounded covariates J Milionis, A Kalavasis, D Fotakis, S Ioannidis International Conference on Artificial Intelligence and Statistics, 3242-3273, 2022	11	2022
Aggregating incomplete and noisy rankings D Fotakis, A Kalavasis, K Stavropoulos International conference on artificial intelligence and statistics, 2278-2286, 2021	8	2021
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, 2022	7	2022
Label ranking through nonparametric regression D Fotakis, A Kalavasis, E Psaroudaki International Conference on Machine Learning, 6622-6659, 2022	6	2022
Perfect Sampling from Pairwise Comparisons D Fotakis, A Kalavasis, C Tzamos Advances in Neural Information Processing Systems 35, 2022	3	2022
Linear Label Ranking with Bounded Noise D Fotakis, A Kalavasis, V Kontonis, C Tzamos Advances in Neural Information Processing Systems 35, 15642-15656, 2022	2	2022
Learning and Covering Sums of Independent Random Variables with Unbounded Support A Kalavasis, K Stavropoulos, E Zampetakis Advances in Neural Information Processing Systems 35, 25185-25197, 2022	2	2022
Learning Hard-Constrained Models with One Sample A Galanis, A Kalavasis, AV Kandiros Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2024	1	2024
Transfer Learning Beyond Bounded Density Ratios A Kalavasis, I Zadik, M Zampetakis arXiv preprint arXiv:2403.11963, 2024		2024
Replicable Learning of Large-Margin Halfspaces A Kalavasis, A Karbasi, KG Larsen, G Velegkas, F Zhou arXiv preprint arXiv:2402.13857, 2024		2024
On the Complexity of Computing Sparse Equilibria and Lower Bounds for No-Regret Learning in Games I Anagnostides, A Kalavasis, T Sandholm, M Zampetakis arXiv preprint arXiv:2311.14869, 2023		2023
On the Verification Complexity of Deterministic Nonsmooth Nonconvex Optimization A Kalavasis, K Stavropoulos, M Zampetakis		2023
Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Methods C Caramanis, D Fotakis, A Kalavasis, V Kontonis, C Tzamos Advances in Neural Information Processing Systems 36, 2023		2023

The system can't perform the operation now. Try again later.

Articles 1–18

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors