| Learning tree structures from noisy data KE Nikolakakis, DS Kalogerias, AD Sarwate The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 17 | 2019 |
| 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 | 15 | 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 | 15* | 2021 |
| Predictive learning on hidden tree-structured Ising models KE Nikolakakis, DS Kalogerias, AD Sarwate Journal of Machine Learning Research 22 (59), 1-82, 2021 | 15 | 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 | 12 | 2022 |
| Optimal Rates for Learning Hidden Tree Structures KE Nikolakakis, DS Kalogerias, AD Sarwate https://arxiv.org/abs/1909.09596, 2021 | 9* | 2021 |
| 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 | 5 | 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 |
| Throughput-Optimal Scheduling via Rate Learning P Promponas, V Valls, K Nikolakakis, D Kalogerias, L Tassiulas arXiv preprint arXiv:2409.09198, 2024 | | 2024 |
| FEDSTR: Money-In AI-Out| A Decentralized Marketplace for Federated Learning and LLM Training on the NOSTR Protocol KE Nikolakakis, G Chantzialexiou, D Kalogerias arXiv preprint arXiv:2404.15834, 2024 | | 2024 |
| Federated Learning under Restricted user Availability P Theodoropoulos, KE Nikolakakis, D Kalogerias ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| 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 | | |
Dionysis KalogeriasYale UniversityVerified email at yale.edu
