Konstantinos E. Nikolakakis

19 papers A* 3A 1Misc 1Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Select without Fear: Almost All Minibatch Schedules Generalize Optimally. SIAM J. Math. Data Sci. Konstantinos E. Nikolakakis, Amin Karbasi, Dionysis Kalogerias
2024	J	`jnl`	FEDSTR: Money-In AI-Out \| A Decentralized Marketplace for Federated Learning and LLM Training on the NOSTR Protocol. CoRR Konstantinos E. Nikolakakis, George Chantzialexiou, Dionysis Kalogerias
2024	Misc	`conf`	Federated Learning under Restricted user Availability. ICASSP Periklis Theodoropoulos, Konstantinos E. Nikolakakis, Dionysis Kalogerias
2024	A*	`conf`	Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning. ICLR Patrik Okanovic, Roger Waleffe, Vasilis Mageirakos, Konstantinos E. Nikolakakis, Amin Karbasi, Dionysios S. Kalogerias, Nezihe Merve Gürel, Theodoros Rekatsinas
2024	—	`conf`	Throughput-Optimal Scheduling via Rate Learning. CDC Panagiotis Promponas, Víctor Valls, Konstantinos E. Nikolakakis, Dionysis Kalogerias, Leandros Tassiulas
2024	J	`jnl`	Throughput-Optimal Scheduling via Rate Learning. CoRR Panagiotis Promponas, Víctor Valls, Konstantinos E. Nikolakakis, Dionysis Kalogerias, Leandros Tassiulas
2023	A*	`conf`	Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for Full-Batch GD. ICLR Konstantinos E. Nikolakakis, Farzin Haddadpour, Amin Karbasi, Dionysios S. Kalogerias
2023	J	`jnl`	Federated Learning Under Restricted User Availability. CoRR Periklis Theodoropoulos, Konstantinos E. Nikolakakis, Dionysios S. Kalogerias
2023	J	`jnl`	Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning. CoRR Patrik Okanovic, Roger Waleffe, Vasilis Mageirakos, Konstantinos E. Nikolakakis, Amin Karbasi, Dionysios S. Kalogerias, Nezihe Merve Gürel, Theodoros Rekatsinas
2023	J	`jnl`	Select without Fear: Almost All Mini-Batch Schedules Generalize Optimally. CoRR Konstantinos E. Nikolakakis, Amin Karbasi, Dionysis Kalogerias
2022	J	`jnl`	Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for Full-Batch GD. CoRR Konstantinos E. Nikolakakis, Farzin Haddadpour, Amin Karbasi, Dionysios S. Kalogerias
2022	J	`jnl`	Black-Box Generalization. CoRR Konstantinos E. Nikolakakis, Farzin Haddadpour, Dionysios S. Kalogerias, Amin Karbasi
2022	A*	`conf`	Black-Box Generalization: Stability of Zeroth-Order Learning. NeurIPS Konstantinos E. Nikolakakis, Farzin Haddadpour, Dionysios S. Kalogerias, Amin Karbasi
2021	J	`jnl`	Predictive Learning on Hidden Tree-Structured Ising Models. J. Mach. Learn. Res. Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Anand D. Sarwate
2021	J	`jnl`	Quantile Multi-Armed Bandits: Optimal Best-Arm Identification and a Differentially Private Scheme. IEEE J. Sel. Areas Inf. Theory Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Or Sheffet, Anand D. Sarwate
2020	J	`jnl`	Best-Arm Identification for Quantile Bandits with Privacy. CoRR Dionysios S. Kalogerias, Konstantinos E. Nikolakakis, Anand D. Sarwate, Or Sheffet
2019	A	`conf`	Learning Tree Structures from Noisy Data. AISTATS Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Anand D. Sarwate
2019	J	`jnl`	Non-Parametric Structure Learning on Hidden Tree-Shaped Distributions. CoRR Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Anand D. Sarwate
2018	J	`jnl`	Predictive Learning on Sign-Valued Hidden Markov Trees. CoRR Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Anand D. Sarwate