Cedric Gerbelot
5 papers · 2020–2022 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(13)
Venues
Top co-authors
Research topics
Keywords
state evolution
(2)
approximate message passing
(2)
generalization error
(2)
high-dimensional statistics
(2)
message passing
(2)
convex loss
(2)
kernel regression
(1)
linear regression
(1)
signal recovery
(1)
elastic net
(1)
penalized regression
(1)
generative model
(1)
convolutional neural network
(1)
generalized linear model
(1)
feature map
(1)
generative prior
(1)
learning curve
(1)
bias-variance tradeoff
(1)
empirical risk minimisation
(1)
gaussian mixture
(1)
Papers
Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension
ICML 2022
Multi-layer State Evolution Under Random Convolutional Design
NeurIPS 2022
Learning curves of generic features maps for realistic datasets with a teacher-student model
NeurIPS 2021
Learning Gaussian Mixtures with Generalized Linear Models: Precise Asymptotics in High-dimensions
NeurIPS 2021
Asymptotic Errors for High-Dimensional Convex Penalized Linear Regression beyond Gaussian Matrices
COLT 2020