Dadi, Leello Tadesse

9 publications

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

ICML 2025 Generalization of Noisy SGD in Unbounded Non-Convex Settings Leello Tadesse Dadi, Volkan Cevher

ICLRW 2025 Improving Single Noise Level Denoising Samplers with Restricted Gaussian Oracles Leello Tadesse Dadi, Andrej Janchevski, Volkan Cevher

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

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

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

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

ICLR 2022 The Spectral Bias of Polynomial Neural Networks Moulik Choraria, Leello Tadesse Dadi, Grigorios Chrysos, Julien Mairal, Volkan Cevher

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