Nikolakakis, Konstantinos

3 publications

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

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

NeurIPS 2022 Black-Box Generalization: Stability of Zeroth-Order Learning Konstantinos Nikolakakis, Farzin Haddadpour, Dionysis Kalogerias, Amin Karbasi