Andrea Montanari

John D. and Sigrid Banks Professor
Department of Statistics
and Department of Mathematics
Stanford University
Contact
Sequoia 133, Stanford, CA 94304
Tel: (650) 7367422
montanari@stanford.edu

Some representative papers (last 5 years)
T. Misiakiewicz, A. Montanari, Six Lectures on Linearized Neural Networks,
2023
A. Montanari, E. Subag, Solving overparametrized systems of random equations: I. Model and algorithms for approximate solutions,
2023
A. El Alaoui, A. Montanari, M. Sellke,
Sampling from the SherringtonKirkpatrick Gibbs measure via algorithmic stochastic localization, 2022
S. Mei, T. Misiakiewicz, A. Montanari, Generalization error of random features and kernel methods: hypercontractivity and kernel matrix concentration, 2021
A Montanari, Y. Zhong The interpolation phase transition in neural networks: Memorization and generalization under lazy training, 2020
M. Celentano, A. Montanari, Y. Wei, The Lasso with general Gaussian designs with applications to hypothesis testing, 2020
S. Mei, A. Montanari, The generalization error of random features regression: Precise asymptotics and double descent curve, 2019
A. Montanari, Optimization of the SherringtonKirkpatrick Hamiltonian, 2019
S. Mei, A. Montanari, P.M. Nguyen, A Mean Field View of the Landscape of TwoLayers Neural Networks, 2018
A. Montanari, Mean field asymptotics in highdimensional statistics: From exact results to efficient algorithms,
International Congress of Mathematicians, 2018
