Konstantinos E. Nikolakakis

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 16

Top Topics

Random Sampling

Tree Structures

Top Venues

IEEE J. Sel. Areas Inf. Theory

Publications

Periklis Theodoropoulos, Konstantinos E. Nikolakakis, Dionysis Kalogerias
Federated Learning under Restricted user Availability. ICASSP (2024)
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 (2024)
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)
Periklis Theodoropoulos, Konstantinos E. Nikolakakis, Dionysios S. Kalogerias
Federated Learning Under Restricted User Availability. CoRR (2023)
Patrik Okanovic, Roger Waleffe, Vasilis Mageirakos, Konstantinos E. Nikolakakis, Amin Karbasi, Dionysis S. Kalogerias, Nezihe Merve Gürel, Theodoros Rekatsinas
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning. CoRR (2023)
Konstantinos E. Nikolakakis, Farzin Haddadpour, Amin Karbasi, Dionysios S. Kalogerias
Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for Full-Batch GD. ICLR (2023)
Konstantinos E. Nikolakakis, Amin Karbasi, Dionysios S. Kalogerias
Select without Fear: Almost All Mini-Batch Schedules Generalize Optimally. CoRR (2023)
Konstantinos E. Nikolakakis, Farzin Haddadpour, Dionysios S. Kalogerias, Amin Karbasi
Black-Box Generalization: Stability of Zeroth-Order Learning. NeurIPS (2022)
Konstantinos E. Nikolakakis, Farzin Haddadpour, Amin Karbasi, Dionysios S. Kalogerias
Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for Full-Batch GD. CoRR (2022)
Konstantinos E. Nikolakakis, Farzin Haddadpour, Dionysios S. Kalogerias, Amin Karbasi
Black-Box Generalization. CoRR (2022)
Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Anand D. Sarwate
Predictive Learning on Hidden Tree-Structured Ising Models. J. Mach. Learn. Res. 22 (2021)
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) (2021)
Dionysios S. Kalogerias, Konstantinos E. Nikolakakis, Anand D. Sarwate, Or Sheffet
Best-Arm Identification for Quantile Bandits with Privacy. CoRR (2020)
Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Anand D. Sarwate
Learning Tree Structures from Noisy Data. AISTATS (2019)
Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Anand D. Sarwate
Non-Parametric Structure Learning on Hidden Tree-Shaped Distributions. CoRR (2019)
Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Anand D. Sarwate
Predictive Learning on Sign-Valued Hidden Markov Trees. CoRR (2018)