Konstantinos E. Nikolakakis

Orcid: 0000-0001-5165-3317

According to our database1, Konstantinos E. Nikolakakis authored at least 14 papers between 2018 and 2024.

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Bibliography

2024
FEDSTR: Money-In AI-Out | A Decentralized Marketplace for Federated Learning and LLM Training on the NOSTR Protocol.
CoRR, 2024

Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Federated Learning under Restricted user Availability.
Proceedings of the IEEE International Conference on Acoustics, 2024

Throughput-Optimal Scheduling via Rate Learning.
Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023
Select without Fear: Almost All Mini-Batch Schedules Generalize Optimally.
CoRR, 2023

Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for Full-Batch GD.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Black-Box Generalization.
CoRR, 2022

Black-Box Generalization: Stability of Zeroth-Order Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Quantile Multi-Armed Bandits: Optimal Best-Arm Identification and a Differentially Private Scheme.
IEEE J. Sel. Areas Inf. Theory, 2021

Predictive Learning on Hidden Tree-Structured Ising Models.
J. Mach. Learn. Res., 2021

2020
Best-Arm Identification for Quantile Bandits with Privacy.
CoRR, 2020

2019
Non-Parametric Structure Learning on Hidden Tree-Shaped Distributions.
CoRR, 2019

Learning Tree Structures from Noisy Data.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Predictive Learning on Sign-Valued Hidden Markov Trees.
CoRR, 2018


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