Judith Rousseau
6 papers · 2019–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(15)
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(5)
Optimization & Theory
(5)
Bayesian & Probabilistic · Machine Learning
(3)
Deep Learning
(2)
Mathematics & Optimization
(2)
Techniques
(2)
Artificial Intelligence
(1)
Data Science & Analytics
(1)
Architectures
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Mathematics
(1)
Methods
(1)
Probability
(1)
Keywords
posterior contraction
(2)
deep neural network
(2)
variational inference
(1)
graph laplacian
(1)
uncertainty quantification
(1)
kl divergence
(1)
neural network optimization
(1)
posterior distribution
(1)
gaussian process
(1)
bayesian estimation
(1)
point process
(1)
nonparametric regression
(1)
multivariate analysis
(1)
posterior approximation
(1)
riemannian manifold
(1)
minimax optimal
(1)
bayesian posterior
(1)
quasi-newton method
(1)
weight initialization
(1)
activation function
(1)
Papers
Nonparametric Regression on Random Geometric Graphs Sampled from Submanifolds
JMLR 2025
Scalable and Adaptive Variational Bayes Methods for Hawkes Processes
JMLR 2025
Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds
NeurIPS 2023
Fast Bayesian Coresets via Subsampling and Quasi-Newton Refinement
NeurIPS 2022
Stable ResNet
AISTATS 2021
On the Impact of the Activation function on Deep Neural Networks Training
ICML 2019