Judith Rousseau
6 papers · 2019–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (4) 🏃 Academic Marathon (6) 🐝 Cross-Pollinator (8)
🌈
Renaissance Researcher
(5)
🗺️
Taxonomy Completionist
(16)
Conferences
JMLR (2)
NIPS (2)
AISTATS (1)
ICML (1)
Top co-authors
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
NIPS 2023
Fast Bayesian Coresets via Subsampling and Quasi-Newton Refinement
NIPS 2022
Stable ResNet
AISTATS 2021
On the Impact of the Activation function on Deep Neural Networks Training
ICML 2019