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Leello Dadi
Leello Dadi
Other namesLeello Tadesse Dadi
PhD Student, EPFL
Verified email at epfl.ch - Homepage
Title
Cited by
Cited by
Year
The spectral bias of polynomial neural networks
M Choraria, LT Dadi, G Chrysos, J Mairal, V Cevher
10th International Conference on Learning Representations (ICLR), Virtual …, 2022
282022
Adaptive stochastic variance reduction for non-convex finite-sum minimization
A Kavis, S Skoulakis, K Antonakopoulos, LT Dadi, V Cevher
Advances in Neural Information Processing Systems 35, 23524-23538, 2022
222022
The effect of the intrinsic dimension on the generalization of quadratic classifiers
F Latorre, LT Dadi, P Rolland, V Cevher
Advances in Neural Information Processing Systems 34, 21138-21149, 2021
122021
Learning with norm constrained, over-parameterized, two-layer neural networks
F Liu, L Dadi, V Cevher
Journal of Machine Learning Research 25 (138), 1-42, 2024
112024
Polynomial Convergence of Bandit No-Regret Dynamics in Congestion Games
L Dadi, I Panageas, S Skoulakis, L Viano, V Cevher
Agentic Markets Workshop, ICML 2024, 2024
52024
Generating sparse stochastic processes using matched splines
L Dadi, S Aziznejad, M Unser
IEEE Transactions on Signal Processing 68, 4397-4406, 2020
52020
Faster Inference of Flow-Based Generative Models via Improved Data-Noise Coupling
A Davtyan, LT Dadi, V Cevher, P Favaro
The Thirteenth International Conference on Learning Representations, 2025
42025
Improving Single Noise Level Denoising Samplers with Restricted Gaussian Oracles
LT Dadi, A Janchevski, V Cevher
ICLR 2025 Workshop on Deep Generative Model in Machine Learning: Theory …, 2025
12025
Generalization of noisy SGD in unbounded non-convex settings
LT Dadi, V Cevher
Forty-second International Conference on Machine Learning (ICML 2025), 2025
2025
Convergence to Equilibrium of No-Regret Dynamics in Congestion Games
V Cevher, W Chen, L Dadi, J Dong, I Panageas, S Skoulakis, L Viano, ...
International Conference on Web and Internet Economics, 513-529, 2024
2024
Finding Actual Descent Directions for Adversarial Training
F Latorre*, I Krawczuk*, L Dadi*, T Pethick, V Cevher
The Eleventh International Conference on Learning Representations (ICLR) 2023, 2023
2023
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Articles 1–11