The role of regularization in classification of high-dimensional noisy Gaussian mixture F Mignacco, F Krzakala, Y Lu, P Urbani, L Zdeborova International Conference on Machine Learning, 6874-6883, 2020 | 40 | 2020 |
Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification F Mignacco, F Krzakala, P Urbani, L Zdeborová Advances in Neural Information Processing Systems 33, 2020 | 19 | 2020 |
Stochasticity helps to navigate rough landscapes: comparing gradient-descent-based algorithms in the phase retrieval problem F Mignacco, P Urbani, L Zdeborová Machine Learning: Science and Technology 2 (3), 035029, 2021 | 13 | 2021 |
The effective noise of Stochastic Gradient Descent F Mignacco, P Urbani arXiv preprint arXiv:2112.10852, 2021 | 3 | 2021 |
Learning curves for the multi-class teacher-student perceptron E Cornacchia, F Mignacco, R Veiga, C Gerbelot, B Loureiro, L Zdeborová arXiv preprint arXiv:2203.12094, 2022 | | 2022 |