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ORCIDKonstantinos E. Nikolakakis
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2020 – today
- 2024
[c5]Periklis Theodoropoulos, Konstantinos E. Nikolakakis, Dionysis Kalogerias:
Federated Learning under Restricted user Availability. ICASSP 2024: 7055-7059- [c4]Patrik Okanovic, Roger Waleffe, Vasilis Mageirakos, Konstantinos E. Nikolakakis, Amin Karbasi, Dionysios S. Kalogerias, Nezihe Merve Gürel, Theodoros Rekatsinas:
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning. ICLR 2024 - [i10]Konstantinos E. Nikolakakis, George Chantzialexiou, Dionysis Kalogerias:
FEDSTR: Money-In AI-Out | A Decentralized Marketplace for Federated Learning and LLM Training on the NOSTR Protocol. CoRR abs/2404.15834 (2024) - [i9]Panagiotis Promponas, Víctor Valls, Konstantinos E. Nikolakakis, Dionysis Kalogerias, Leandros Tassiulas:
Throughput-Optimal Scheduling via Rate Learning. CoRR abs/2409.09198 (2024) - 2023
- [c3]Konstantinos E. Nikolakakis, Farzin Haddadpour, Amin Karbasi, Dionysios S. Kalogerias:
Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for Full-Batch GD. ICLR 2023 - [i8]Konstantinos E. Nikolakakis, Amin Karbasi, Dionysis Kalogerias
:
Select without Fear: Almost All Mini-Batch Schedules Generalize Optimally. CoRR abs/2305.02247 (2023) - [i7]Patrik Okanovic, Roger Waleffe, Vasilis Mageirakos, Konstantinos E. Nikolakakis, Amin Karbasi, Dionysios S. Kalogerias, Nezihe Merve Gürel, Theodoros Rekatsinas:
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning. CoRR abs/2305.18424 (2023) - [i6]Periklis Theodoropoulos, Konstantinos E. Nikolakakis, Dionysios S. Kalogerias:
Federated Learning Under Restricted User Availability. CoRR abs/2309.14176 (2023) - 2022
- [c2]Konstantinos E. Nikolakakis, Farzin Haddadpour, Dionysios S. Kalogerias, Amin Karbasi:
Black-Box Generalization: Stability of Zeroth-Order Learning. NeurIPS 2022 - [i5]Konstantinos E. Nikolakakis, Farzin Haddadpour, Dionysios S. Kalogerias, Amin Karbasi:
Black-Box Generalization. CoRR abs/2202.06880 (2022) - [i4]Konstantinos E. Nikolakakis, Farzin Haddadpour, Amin Karbasi, Dionysios S. Kalogerias:
Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for Full-Batch GD. CoRR abs/2204.12446 (2022) - 2021
- [j2]Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Anand D. Sarwate:
Predictive Learning on Hidden Tree-Structured Ising Models. J. Mach. Learn. Res. 22: 59:1-59:82 (2021) - [j1]Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Or Sheffet, Anand D. Sarwate:
Quantile Multi-Armed Bandits: Optimal Best-Arm Identification and a Differentially Private Scheme. IEEE J. Sel. Areas Inf. Theory 2(2): 534-548 (2021) - 2020
- [i3]Dionysios S. Kalogerias, Konstantinos E. Nikolakakis, Anand D. Sarwate, Or Sheffet:
Best-Arm Identification for Quantile Bandits with Privacy. CoRR abs/2006.06792 (2020)
2010 – 2019
- 2019
- [c1]Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Anand D. Sarwate:
Learning Tree Structures from Noisy Data. AISTATS 2019: 1771-1782 - [i2]Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Anand D. Sarwate:
Non-Parametric Structure Learning on Hidden Tree-Shaped Distributions. CoRR abs/1909.09596 (2019) - 2018
- [i1]Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Anand D. Sarwate:
Predictive Learning on Sign-Valued Hidden Markov Trees. CoRR abs/1812.04700 (2018)
Coauthor Index
aka: Dionysis Kalogerias
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