Raphaël Berthier
6 papers · 2020–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(10)
Venues
Top co-authors
Research topics
Keywords
gradient flow
(2)
stochastic gradient descent
(2)
incremental learning
(1)
transformer
(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)
implicit regularization
(1)
learning dynamics
(1)
shallow neural network
(1)
linear model
(1)
nesterov acceleration
(1)
random feature model
(1)
diagonal linear network
(1)
gossip algorithm
(1)
bayes optimality
(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
Incremental Learning in Diagonal Linear Networks
JMLR 2023
Leveraging the two-timescale regime to demonstrate convergence of neural networks
NeurIPS 2023
Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms
NeurIPS 2021
Tight Nonparametric Convergence Rates for Stochastic Gradient Descent under the Noiseless Linear Model
NeurIPS 2020