| Learning tree structures from noisy data KE Nikolakakis, DS Kalogerias, AD Sarwate The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 14 | 2019 |
| Predictive learning on hidden tree-structured Ising models KE Nikolakakis, DS Kalogerias, AD Sarwate The Journal of Machine Learning Research 22 (1), 2713-2794, 2021 | 11 | 2021 |
| Quantile multi-armed bandits: Optimal best-arm identification and a differentially private scheme KE Nikolakakis, DS Kalogerias, O Sheffet, AD Sarwate IEEE Journal on Selected Areas in Information Theory 2 (2), 534-548, 2021 | 8* | 2021 |
| Optimal Rates for Learning Hidden Tree Structures KE Nikolakakis, DS Kalogerias, AD Sarwate https://arxiv.org/abs/1909.09596, 2021 | 7* | 2021 |
| Beyond Lipschitz: sharp generalization and excess risk bounds for full-batch GD KE Nikolakakis, F Haddadpour, A Karbasi, DS Kalogerias arXiv preprint arXiv:2204.12446, 2022 | 3 | 2022 |
| Black-Box Generalization KE Nikolakakis, F Haddadpour, DS Kalogerias, A Karbasi arXiv preprint arXiv:2202.06880, 2022 | | 2022 |
| Learning Tree-Structured Models from Noisy Data K Nikolakakis Rutgers The State University of New Jersey, School of Graduate Studies, 2021 | | 2021 |
| Black-Box Generalization: Stability of Zeroth-Order Learning K Nikolakakis, F Haddadpour, D Kalogerias, A Karbasi Advances in Neural Information Processing Systems, 0 | | |
Dionysios S. KalogeriasAssistant Professor of Electrical Engineering, Yale UniversityVerified email at yale.edu
