Elvira, Victor

7 publications

JMLR 2025 Regularized Rényi Divergence Minimization Through Bregman Proximal Gradient Algorithms Thomas Guilmeau, Emilie Chouzenoux, Víctor Elvira

AISTATS 2024 Adaptive Importance Sampling for Heavy-Tailed Distributions via $α$-Divergence Minimization Thomas Guilmeau, Nicola Branchini, Emilie Chouzenoux, Victor Elvira

JMLR 2024 Sparse Graphical Linear Dynamical Systems Emilie Chouzenoux, Victor Elvira

NeurIPSW 2024 The Role of Tail Dependence in Estimating Posterior Expectations Nicola Branchini, Víctor Elvira

AISTATS 2024 Variational Resampling Oskar Kviman, Nicola Branchini, Víctor Elvira, Jens Lagergren

AISTATS 2022 Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations Oskar Kviman, Harald Melin, Hazal Koptagel, Victor Elvira, Jens Lagergren

UAI 2021 Optimized Auxiliary Particle Filters: Adapting Mixture Proposals via Convex Optimization Nicola Branchini, Víctor Elvira