Raphaël Berthier

22 papers A* 5Journal 16

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Attention layers provably solve single-location regression. ICLR Pierre Marion, Raphaël Berthier, Gérard Biau, Claire Boyer
2025	J	`jnl`	Diagonal Linear Networks and the Lasso Regularization Path. CoRR Raphaël Berthier
2025	J	`jnl`	Learning Time-Scales in Two-Layers Neural Networks. Found. Comput. Math. Raphaël Berthier, Andrea Montanari, Kangjie Zhou
2024	J	`jnl`	Attention layers provably solve single-location regression. CoRR Pierre Marion, Raphaël Berthier, Gérard Biau, Claire Boyer
2024	A*	`conf`	On the Minimal Degree Bias in Generalization on the Unseen for non-Boolean Functions. ICML Denys Pushkin, Raphaël Berthier, Emmanuel Abbe
2024	J	`jnl`	On the Minimal Degree Bias in Generalization on the Unseen for non-Boolean Functions. CoRR Denys Pushkin, Raphaël Berthier, Emmanuel Abbe
2023	J	`jnl`	Incremental Learning in Diagonal Linear Networks. J. Mach. Learn. Res. Raphaël Berthier
2023	J	`jnl`	Learning time-scales in two-layers neural networks. CoRR Raphaël Berthier, Andrea Montanari, Kangjie Zhou
2023	J	`jnl`	Leveraging the two timescale regime to demonstrate convergence of neural networks. CoRR Pierre Marion, Raphaël Berthier
2023	A*	`conf`	Leveraging the two-timescale regime to demonstrate convergence of neural networks. NeurIPS Pierre Marion, Raphaël Berthier
2022	J	`jnl`	Acceleration of Gossip Algorithms through the Euler-Poisson-Darboux Equation. CoRR Raphaël Berthier, Mufan (Bill) Li
2022	J	`jnl`	Incremental Learning in Diagonal Linear Networks. CoRR Raphaël Berthier
2021	J	`jnl`	A Continuized View on Nesterov Acceleration for Stochastic Gradient Descent and Randomized Gossip. CoRR Mathieu Even, Raphaël Berthier, Francis R. Bach, Nicolas Flammarion, Pierre Gaillard, Hadrien Hendrikx, Laurent Massoulié, Adrien B. Taylor
2021	J	`jnl`	A Continuized View on Nesterov Acceleration. CoRR Raphaël Berthier, Francis R. Bach, Nicolas Flammarion, Pierre Gaillard, Adrien B. Taylor
2021	—	`—`	Analysis and Acceleration of Gradient Descents and Gossip Algorithms. (Analyse et Accélération des Descentes de Gradient et des Algorithmes de Gossip). Raphaël Berthier
2021	A*	`conf`	Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms. NeurIPS Mathieu Even, Raphaël Berthier, Francis R. Bach, Nicolas Flammarion, Hadrien Hendrikx, Pierre Gaillard, Laurent Massoulié, Adrien B. Taylor
2021	J	`jnl`	Graph-based Approximate Message Passing Iterations. CoRR Cédric Gerbelot, Raphaël Berthier
2020	J	`jnl`	Accelerated Gossip in Networks of Given Dimension Using Jacobi Polynomial Iterations. SIAM J. Math. Data Sci. Raphaël Berthier, Francis R. Bach, Pierre Gaillard
2020	A*	`conf`	Tight Nonparametric Convergence Rates for Stochastic Gradient Descent under the Noiseless Linear Model. NeurIPS Raphaël Berthier, Francis R. Bach, Pierre Gaillard
2020	J	`jnl`	Tight Nonparametric Convergence Rates for Stochastic Gradient Descent under the Noiseless Linear Model. CoRR Raphaël Berthier, Francis R. Bach, Pierre Gaillard
2018	J	`jnl`	Gossip of Statistical Observations using Orthogonal Polynomials. CoRR Raphaël Berthier, Francis R. Bach, Pierre Gaillard
2017	J	`jnl`	State Evolution for Approximate Message Passing with Non-Separable Functions. CoRR Raphaël Berthier, Andrea Montanari, Phan-Minh Nguyen