Learning tree structures from noisy data KE Nikolakakis, DS Kalogerias, AD Sarwate The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 16 | 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 | 12 | 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 | 11 | 2022 |
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 | 11* | 2021 |
Optimal Rates for Learning Hidden Tree Structures KE Nikolakakis, DS Kalogerias, AD Sarwate https://arxiv.org/abs/1909.09596, 2021 | 8* | 2021 |
Black-box generalization: Stability of zeroth-order learning K Nikolakakis, F Haddadpour, D Kalogerias, A Karbasi Advances in Neural Information Processing Systems 35, 31525-31541, 2022 | 5 | 2022 |
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning P Okanovic, R Waleffe, V Mageirakos, KE Nikolakakis, A Karbasi, ... arXiv preprint arXiv:2305.18424, 2023 | 1 | 2023 |
Select without Fear: Almost All Mini-Batch Schedules Generalize Optimally KE Nikolakakis, A Karbasi, D Kalogerias arXiv preprint arXiv:2305.02247, 2023 | 1 | 2023 |
Federated Learning Under Restricted User Availability P Theodoropoulos, KE Nikolakakis, D Kalogerias arXiv preprint arXiv:2309.14176, 2023 | | 2023 |
Learning Tree-Structured Models from Noisy Data K Nikolakakis Rutgers The State University of New Jersey, School of Graduate Studies, 2021 | | 2021 |
Supplementary Material for” Quantile Multi-Armed Bandits: Optimal Best-Arm Identification and a Differentially Private Scheme” KE Nikolakakis, DS Kalogerias, O Sheffet, AD Sarwate | | |