| Learning halfspaces with massart noise under structured distributions I Diakonikolas, V Kontonis, C Tzamos, N Zarifis Conference on Learning Theory, 1486-1513, 2020 | 45 | 2020 |
| 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 | 42 | 2020 |
| 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 | 20 | 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 | 20 | 2019 |
| 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 | 19* | 2021 |
| 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 | 11* | 2022 |
| 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 | 10 | 2020 |
| Learning online algorithms with distributional advice I Diakonikolas, V Kontonis, C Tzamos, A Vakilian, N Zarifis International Conference on Machine Learning, 2687-2696, 2021 | 9 | 2021 |
| Opinion dynamics with limited information D Fotakis, V Kandiros, V Kontonis, S Skoulakis Web and Internet Economics: 14th International Conference, WINE 2018, Oxford …, 2018 | 9 | 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 | 6 | 2021 |
| A statistical taylor theorem and extrapolation of truncated densities C Daskalakis, V Kontonis, C Tzamos, E Zampetakis Conference on Learning Theory, 1395-1398, 2021 | 4 | 2021 |
| Convergence and sample complexity of SGD in GANs V Kontonis, S Liu, C Tzamos arXiv preprint arXiv:2012.00732, 2020 | 4 | 2020 |
| 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 | 3 | 2022 |
| Efficient algorithms for learning from coarse labels D Fotakis, A Kalavasis, V Kontonis, C Tzamos Conference on Learning Theory, 2060-2079, 2021 | 2 | 2021 |
| Weighted Distillation with Unlabeled Examples F Iliopoulos, V Kontonis, C Baykal, G Menghani, K Trinh, E Vee Advances in Neural Information Processing Systems., 2022 | 1 | 2022 |
| 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 | 1 | 2022 |
| Efficient Testable Learning of Halfspaces with Adversarial Label Noise I Diakonikolas, DM Kane, V Kontonis, S Liu, N Zarifis arXiv preprint arXiv:2303.05485, 2023 | | 2023 |
| SLaM: Student-Label Mixing for Semi-Supervised Knowledge Distillation V Kontonis, F Iliopoulos, K Trinh, C Baykal, G Menghani, E Vee arXiv preprint arXiv:2302.03806, 2023 | | 2023 |
| 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 | | 2021 |
| Learning Powers of Poisson Binomial Distributions D Fotakis, V Kontonis, P Krysta, P Spirakis arXiv preprint arXiv:1707.05662, 2017 | | 2017 |
Christos TzamosUniversity of Athens and University of Wisconsin-MadisonVerified email at di.uoa.gr
