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Aditya Varre
Aditya Varre
PhD student, EPFL
Verified email at epfl.ch
Title
Cited by
Cited by
Year
Sgd with large step sizes learns sparse features
M Andriushchenko, AV Varre, L Pillaud-Vivien, N Flammarion
International Conference on Machine Learning, 903-925, 2023
402023
Last iterate convergence of SGD for Least-Squares in the Interpolation regime.
AV Varre, L Pillaud-Vivien, N Flammarion
Advances in Neural Information Processing Systems 34, 21581-21591, 2021
302021
Variants of homomorphism polynomials complete for algebraic complexity classes
P Chaugule, N Limaye, A Varre
ACM Transactions on Computation Theory (TOCT) 13 (4), 1-26, 2021
82021
Why Do We Need Weight Decay in Modern Deep Learning?
M Andriushchenko, F D'Angelo, A Varre, N Flammarion
arXiv preprint arXiv:2310.04415, 2023
62023
Accelerated sgd for non-strongly-convex least squares
A Varre, N Flammarion
Conference on Learning Theory, 2062-2126, 2022
42022
On the spectral bias of two-layer linear networks
AV Varre, ML Vladarean, L Pillaud-Vivien, N Flammarion
Advances in Neural Information Processing Systems 36, 2024
12024
Why Do We Need Weight Decay for Overparameterized Deep Networks?
F D'Angelo, A Varre, M Andriushchenko, N Flammarion
NeurIPS 2023 Workshop on Mathematics of Modern Machine Learning, 2023
2023
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Articles 1–7