Predictive Learning on Sign-Valued Hidden Markov Trees. - Konstantinos E. Nikolakakis; Dionysios S. Kalogerias; Anand D. Sarwate (CoRR, 2018)

Learning Tree Structures from Noisy Data. - Konstantinos E. Nikolakakis; Dionysios S. Kalogerias; Anand D. Sarwate (AISTATS, 2019)

Non-Parametric Structure Learning on Hidden Tree-Shaped Distributions. - Konstantinos E. Nikolakakis; Dionysios S. Kalogerias; Anand D. Sarwate (CoRR, 2019)

Best-Arm Identification for Quantile Bandits with Privacy. - Dionysios S. Kalogerias; Konstantinos E. Nikolakakis; Anand D. Sarwate; Or Sheffet (CoRR, 2020)

Predictive Learning on Hidden Tree-Structured Ising Models. - Konstantinos E. Nikolakakis; Dionysios S. Kalogerias; Anand D. Sarwate (J. Mach. Learn. Res., 2021)

Quantile Multi-Armed Bandits: Optimal Best-Arm Identification and a Differentially Private Scheme. - Konstantinos E. Nikolakakis; Dionysios S. Kalogerias; Or Sheffet; Anand D. Sarwate (IEEE J. Sel. Areas Inf. Theory, 2021)

Black-Box Generalization: Stability of Zeroth-Order Learning. - Konstantinos E. Nikolakakis; Farzin Haddadpour; Dionysios S. Kalogerias; Amin Karbasi (NeurIPS, 2022)

Black-Box Generalization. - Konstantinos E. Nikolakakis; Farzin Haddadpour; Dionysios S. Kalogerias; Amin Karbasi (CoRR, 2022)

Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for Full-Batch GD. - Konstantinos E. Nikolakakis; Farzin Haddadpour; Amin Karbasi; Dionysios S. Kalogerias (ICLR, 2023)

Select without Fear: Almost All Mini-Batch Schedules Generalize Optimally. - Konstantinos E. Nikolakakis; Amin Karbasi; Dionysis Kalogerias (CoRR, 2023)

Throughput-Optimal Scheduling via Rate Learning. - Panagiotis Promponas; Víctor Valls; Konstantinos E. Nikolakakis; Dionysis Kalogerias; Leandros Tassiulas (CDC, 2024)

Federated Learning under Restricted user Availability. - Periklis Theodoropoulos; Konstantinos E. Nikolakakis; Dionysis Kalogerias (ICASSP, 2024)

Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning. - Patrik Okanovic; Roger Waleffe; Vasilis Mageirakos; Konstantinos E. Nikolakakis; Amin Karbasi; Dionysios S. Kalogerias; Nezihe Merve Gürel; Theodoros Rekatsinas (ICLR, 2024)

FEDSTR: Money-In AI-Out | A Decentralized Marketplace for Federated Learning and LLM Training on the NOSTR Protocol. - Konstantinos E. Nikolakakis; George Chantzialexiou; Dionysis Kalogerias (CoRR, 2024)

Select without Fear: Almost All Minibatch Schedules Generalize Optimally. - Konstantinos E. Nikolakakis; Amin Karbasi; Dionysis Kalogerias (SIAM J. Math. Data Sci., 2025)