| Algorithms and sq lower bounds for pac learning one-hidden-layer relu networks I Diakonikolas, DM Kane, V Kontonis, N Zarifis Conference on Learning Theory, 1514-1539, 2020 | 71 | 2020 |
| Learning halfspaces with massart noise under structured distributions I Diakonikolas, V Kontonis, C Tzamos, N Zarifis Conference on learning theory, 1486-1513, 2020 | 63 | 2020 |
| Efficient truncated statistics with unknown truncation V Kontonis, C Tzamos, M Zampetakis 2019 ieee 60th annual symposium on foundations of computer science (focs …, 2019 | 34 | 2019 |
| Learning online algorithms with distributional advice I Diakonikolas, V Kontonis, C Tzamos, A Vakilian, N Zarifis International Conference on Machine Learning, 2687-2696, 2021 | 29 | 2021 |
| Efficiently learning halfspaces with tsybakov noise I Diakonikolas, DM Kane, V Kontonis, C Tzamos, N Zarifis Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing …, 2021 | 28* | 2021 |
| Non-convex sgd learns halfspaces with adversarial label noise I Diakonikolas, V Kontonis, C Tzamos, N Zarifis Advances in Neural Information Processing Systems 33, 18540-18549, 2020 | 28 | 2020 |
| Learning general halfspaces with general massart noise under the gaussian distribution I Diakonikolas, DM Kane, V Kontonis, C Tzamos, N Zarifis Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing …, 2022 | 26* | 2022 |
| Efficient algorithms for learning from coarse labels D Fotakis, A Kalavasis, V Kontonis, C Tzamos Conference on Learning Theory, 2060-2079, 2021 | 19 | 2021 |
| Learning a single neuron with adversarial label noise via gradient descent I Diakonikolas, V Kontonis, C Tzamos, N Zarifis Conference on Learning Theory, 4313-4361, 2022 | 18 | 2022 |
| Opinion dynamics with limited information D Fotakis, V Kandiros, V Kontonis, S Skoulakis International Conference on Web and Internet Economics, 282-296, 2018 | 17 | 2018 |
| Agnostic proper learning of halfspaces under gaussian marginals I Diakonikolas, DM Kane, V Kontonis, C Tzamos, N Zarifis Conference on Learning Theory, 1522-1551, 2021 | 16 | 2021 |
| Learning general gaussian mixtures with efficient score matching S Chen, V Kontonis, K Shah arXiv preprint arXiv:2404.18893, 2024 | 15 | 2024 |
| Learning halfspaces with tsybakov noise I Diakonikolas, V Kontonis, C Tzamos, N Zarifis Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2020 | 15 | 2020 |
| Learning general halfspaces with adversarial label noise via online gradient descent I Diakonikolas, V Kontonis, C Tzamos, N Zarifis International Conference on Machine Learning, 5118-5141, 2022 | 12 | 2022 |
| Weighted Distillation with Unlabeled Examples F Iliopoulos, V Kontonis, C Baykal, G Menghani, K Trinh, E Vee Advances in Neural Information Processing Systems., 2022 | 11 | 2022 |
| Efficient testable learning of halfspaces with adversarial label noise I Diakonikolas, D Kane, V Kontonis, S Liu, N Zarifis Advances in Neural Information Processing Systems 36, 2024 | 10 | 2024 |
| A statistical taylor theorem and extrapolation of truncated densities C Daskalakis, V Kontonis, C Tzamos, E Zampetakis Conference on learning theory, 1395-1398, 2021 | 10 | 2021 |
| SLaM: Student-Label Mixing for Distillation with Unlabeled Examples V Kontonis, F Iliopoulos, K Trinh, C Baykal, G Menghani, E Vee arXiv preprint arXiv:2302.03806, 2023 | 6* | 2023 |
| Optimizing solution-samplers for combinatorial problems: The landscape of policy-gradient method C Caramanis, D Fotakis, A Kalavasis, V Kontonis, C Tzamos Advances in Neural Information Processing Systems 36, 14035-14069, 2023 | 4 | 2023 |
| Self-directed linear classification I Diakonikolas, V Kontonis, C Tzamos, N Zarifis The Thirty Sixth Annual Conference on Learning Theory, 2919-2947, 2023 | 4 | 2023 |
Christos TzamosUniversity of Athens and University of Wisconsin-MadisonVerified email at di.uoa.gr
