Raphaël Berthier

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 16

Top Topics

Orthogonal Polynomials

Incremental Learning

Message Passing

Top Venues

SIAM J. Math. Data Sci.

J. Mach. Learn. Res.

Publications

Denys Pushkin, Raphaël Berthier, Emmanuel Abbe
On the Minimal Degree Bias in Generalization on the Unseen for non-Boolean Functions. CoRR (2024)
Pierre Marion, Raphaël Berthier
Leveraging the two timescale regime to demonstrate convergence of neural networks. CoRR (2023)
Raphaël Berthier, Andrea Montanari, Kangjie Zhou
Learning time-scales in two-layers neural networks. CoRR (2023)
Raphaël Berthier
Incremental Learning in Diagonal Linear Networks. J. Mach. Learn. Res. 24 (2023)
Pierre Marion, Raphaël Berthier
Leveraging the two-timescale regime to demonstrate convergence of neural networks. NeurIPS (2023)
Raphaël Berthier, Mufan Li
Acceleration of Gossip Algorithms through the Euler-Poisson-Darboux Equation. CoRR (2022)
Raphaël Berthier
Incremental Learning in Diagonal Linear Networks. CoRR (2022)
Cédric Gerbelot, Raphaël Berthier
Graph-based Approximate Message Passing Iterations. CoRR (2021)
Mathieu Even, Raphaël Berthier, Francis R. Bach, Nicolas Flammarion, Hadrien Hendrikx, Pierre Gaillard, Laurent Massoulié, Adrien B. Taylor
Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms. NeurIPS (2021)
Mathieu Even, Raphaël Berthier, Francis R. Bach, Nicolas Flammarion, Pierre Gaillard, Hadrien Hendrikx, Laurent Massoulié, Adrien Taylor
A Continuized View on Nesterov Acceleration for Stochastic Gradient Descent and Randomized Gossip. CoRR (2021)
Raphaël Berthier, Francis R. Bach, Nicolas Flammarion, Pierre Gaillard, Adrien Taylor
A Continuized View on Nesterov Acceleration. CoRR (2021)
Raphaël Berthier, Francis R. Bach, Pierre Gaillard
Accelerated Gossip in Networks of Given Dimension Using Jacobi Polynomial Iterations. SIAM J. Math. Data Sci. 2 (1) (2020)
Raphaël Berthier, Francis R. Bach, Pierre Gaillard
Tight Nonparametric Convergence Rates for Stochastic Gradient Descent under the Noiseless Linear Model. CoRR (2020)
Raphaël Berthier, Francis R. Bach, Pierre Gaillard
Tight Nonparametric Convergence Rates for Stochastic Gradient Descent under the Noiseless Linear Model. NeurIPS (2020)
Raphaël Berthier, Francis R. Bach, Pierre Gaillard
Gossip of Statistical Observations using Orthogonal Polynomials. CoRR (2018)
Raphaël Berthier, Andrea Montanari, Phan-Minh Nguyen
State Evolution for Approximate Message Passing with Non-Separable Functions. CoRR (2017)