The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers. - Fabian Latorre; Leello Tadesse Dadi; Paul Rolland; Volkan Cevher (NeurIPS, 2021)

The Spectral Bias of Polynomial Neural Networks. - Moulik Choraria; Leello Tadesse Dadi; Grigorios Chrysos 002; Julien Mairal; Volkan Cevher (ICLR, 2022)

Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization. - Ali Kavis; Stratis Skoulakis; Kimon Antonakopoulos; Leello Tadesse Dadi; Volkan Cevher (NeurIPS, 2022)

Finding Actual Descent Directions for Adversarial Training. - Fabian Latorre; Igor Krawczuk; Leello Tadesse Dadi; Thomas Pethick; Volkan Cevher (ICLR, 2023)

Efficient Continual Finite-Sum Minimization. - Ioannis Mavrothalassitis; Stratis Skoulakis; Leello Tadesse Dadi; Volkan Cevher (ICLR, 2024)

Polynomial Convergence of Bandit No-Regret Dynamics in Congestion Games. - Leello Tadesse Dadi; Ioannis Panageas; Stratis Skoulakis; Luca Viano; Volkan Cevher (CoRR, 2024)

Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks. - Fanghui Liu 001; Leello Tadesse Dadi; Volkan Cevher (J. Mach. Learn. Res., 2024)

Faster Inference of Flow-Based Generative Models via Improved Data-Noise Coupling. - Aram Davtyan; Leello Tadesse Dadi; Volkan Cevher; Paolo Favaro (ICLR, 2025)