Raphaël Berthier
6 papers · 2020–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🌍
Conference Polyglot
(4)
🏃
Academic Marathon
(5)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(15)
Conferences
NIPS (3)
ICLR (1)
ICML (1)
JMLR (1)
Top co-authors
Keywords
stochastic gradient descent
(2)
gradient flow
(2)
incremental learning
(1)
neural network optimization
(1)
reproducing kernel hilbert space
(1)
nonparametric regression
(1)
asynchronous computation
(1)
sparse regularization
(1)
continuous time
(1)
convergence rate
(1)
two-timescale regime
(1)
implicit regularization
(1)
learning dynamics
(1)
shallow neural network
(1)
linear model
(1)
nesterov acceleration
(1)
diagonal linear network
(1)
gossip algorithm
(1)
kernel methods
(1)
global convergence
(1)
Papers
Attention layers provably solve single-location regression
ICLR 2025
On the Minimal Degree Bias in Generalization on the Unseen for non-Boolean Functions
ICML 2024
Leveraging the two-timescale regime to demonstrate convergence of neural networks
NIPS 2023
Incremental Learning in Diagonal Linear Networks
JMLR 2023
Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms
NIPS 2021
Tight Nonparametric Convergence Rates for Stochastic Gradient Descent under the Noiseless Linear Model
NIPS 2020