Victor Elvira
6 papers · 2021–2025 · 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)
🐣
Hot Topic Early Bird
Venues
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Research topics
Machine Learning
(6)
Deep Learning
(5)
Optimization & Theory
(5)
Models
(4)
Artificial Intelligence
(3)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Bayesian & Probabilistic · Machine Learning
(3)
Mathematics & Optimization
(2)
Data Science & Analytics
(1)
Architectures
(1)
Core Methods
(1)
Learning Types
(1)
Methods
(1)
Optimization
(1)
Probability
(1)
Keywords
variational inference
(4)
importance sampling
(3)
state space model
(2)
divergence minimization
(1)
convex optimization
(1)
bayesian inference
(1)
density estimation
(1)
time series
(1)
sequential monte carlo
(1)
exponential family
(1)
particle filter
(1)
graphical lasso
(1)
bayesian optimization
(1)
moment matching
(1)
graphical model
(1)
normalizing flow
(1)
target distribution
(1)
heavy-tailed distribution
(1)
lower bound
(1)
evidence lower bound
(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
Variational Resampling
AISTATS 2024
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations
AISTATS 2022
Optimized auxiliary particle filters: adapting mixture proposals via convex optimization
UAI 2021