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Konstantinos Nikolakakis
Konstantinos Nikolakakis
Verified email at yale.edu
Title
Cited by
Cited by
Year
Learning tree structures from noisy data
KE Nikolakakis, DS Kalogerias, AD Sarwate
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
172019
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
152022
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
152021
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
122022
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
52023
Select without fear: Almost all mini-batch schedules generalize optimally
KE Nikolakakis, A Karbasi, D Kalogerias
arXiv preprint arXiv:2305.02247, 2023
12023
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
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Articles 1–13