Michael Celentano

According to our database, Michael Celentano authored at least 7 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Mean-field variational inference with the TAP free energy: Geometric and statistical properties in linear models.

Michael Celentano, Zhou Fan, Licong Lin, Song Mei

CoRR, 2023

Maximum Mean Discrepancy Meets Neural Networks: The Radon-Kolmogorov-Smirnov Test.

Seunghoon Paik, Michael Celentano, Alden Green, Ryan J. Tibshirani

CoRR, 2023

2022

Sudakov-Fernique post-AMP, and a new proof of the local convexity of the TAP free energy.

Michael Celentano

CoRR, 2022

2021

Local convexity of the TAP free energy and AMP convergence for Z2-synchronization.

Michael Celentano, Zhou Fan, Song Mei

CoRR, 2021

Minimum complexity interpolation in random features models.

Michael Celentano, Theodor Misiakiewicz, Andrea Montanari

CoRR, 2021

2020

The Lasso with general Gaussian designs with applications to hypothesis testing.

Michael Celentano, Andrea Montanari, Yuting Wei

CoRR, 2020

The estimation error of general first order methods.

Michael Celentano, Andrea Montanari, Yuchen Wu

Proceedings of the Conference on Learning Theory, 2020