Song Mei
Title
Cited by
Cited by
Year
A mean field view of the landscape of two-layers neural networks
S Mei, A Montanari, P Nguyen
Proceedings of the National Academy of Sciences 115, E7665-E7671, 2018
3032018
The landscape of empirical risk for non-convex losses
S Mei, Y Bai, A Montanari
The Annals of Statistics 46 (6A), 2747-2774, 2018
1812018
The generalization error of random features regression: Precise asymptotics and double descent curve
S Mei, A Montanari
arXiv preprint arXiv:1908.05355, 2019
1192019
Linearized two-layers neural networks in high dimension
B Ghorbani, S Mei, T Misiakiewicz, A Montanari
arXiv preprint arXiv:1904.12191, 2019
782019
Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit
S Mei, T Misiakiewicz, A Montanari
Conference on Learning Theory (COLT) 2019, 2019
782019
The landscape of the spiked tensor model
GB Arous, S Mei, A Montanari, M Nica
Communications on Pure and Applied Mathematics 72 (11), 2282-2330, 2019
422019
Solving SDPs for synchronization and MaxCut problems via the Grothendieck inequality
S Mei, T Misiakiewicz, A Montanari, RI Oliveira
Conference on Learning Theory (COLT) 2017, 2017
402017
Limitations of Lazy Training of Two-layers Neural Network
B Ghorbani, S Mei, T Misiakiewicz, A Montanari
Advances in Neural Information Processing Systems, 9108-9118, 2019
292019
When do neural networks outperform kernel methods?
B Ghorbani, S Mei, T Misiakiewicz, A Montanari
arXiv preprint arXiv:2006.13409, 2020
122020
TAP free energy, spin glasses and variational inference
Z Fan, S Mei, A Montanari
Annals of Probability 49 (1), 1-45, 2021
72021
On a molecular based Q-tensor model for liquid crystals with density variations
S Mei, P Zhang
Multiscale Modeling & Simulation 13 (3), 977-1000, 2015
32015
Proximal algorithms for constrained composite optimization, with applications to solving low-rank sdps
Y Bai, J Duchi, S Mei
arXiv preprint arXiv:1903.00184, 2019
22019
Analysis of sequential quadratic programming through the lens of Riemannian optimization
Y Bai, S Mei
arXiv preprint arXiv:1805.08756, 2018
12018
Discussion of:“Nonparametric regression using deep neural networks with ReLU activation function”
B Ghorbani, S Mei, T Misiakiewicz, A Montanari
Annals of Statistics 48 (4), 1898-1901, 2020
2020
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