Emilie Chouzenoux
4 papers · 2022–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(15)
Venues
Top co-authors
Research topics
Deep Learning
(4)
Machine Learning
(4)
Artificial Intelligence
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Learning Types · Machine Learning
(2)
Models
(2)
Optimization & Theory
(2)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Architectures
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Core Methods
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Methods
(1)
Keywords
variational inference
(2)
time series analysis
(1)
causal inference
(1)
stochastic gradient
(1)
few-shot learning
(1)
class imbalance
(1)
time series
(1)
importance sampling
(1)
exponential family
(1)
transductive inference
(1)
minimum description length
(1)
graphical lasso
(1)
bayesian optimization
(1)
moment matching
(1)
graphical model
(1)
state space model
(1)
heavy-tailed distribution
(1)
linear dynamical system
(1)
alpha divergence
(1)
adaptive importance sampling
(1)
Papers
Regularized Rényi Divergence Minimization through Bregman Proximal Gradient Algorithms
JMLR 2025
Adaptive importance sampling for heavy-tailed distributions via $α$-divergence minimization
AISTATS 2024
Sparse Graphical Linear Dynamical Systems
JMLR 2024
Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference
NeurIPS 2022