Emilie Chouzenoux
4 papers · 2022–2025 · 3 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (3) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (5)
🗺️
Taxonomy Completionist
(15)
Conferences
JMLR (2)
AISTATS (1)
NIPS (1)
Top co-authors
Research topics
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)
few shot learning
(1)
alpha divergence
(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
NIPS 2022