Image de couverture de livre

On the Asymptotics of Importance Weighted Variational Inference

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Cherief-Abdellatif, Badr-Eddine, Douc, Randal, Doucet, Arnaud, Marival, Hugo
Format:	Preprint
Publié:	2025
Sujets:	Statistics Theory 62F12, 62F30, 62B10 (Primary) 60F05, 68T07 (Secondary) G.3
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Improved estimators in Bell regression model with application
par: Seifollahi, Solmaz, et autres
Publié: (2024)

Asymptotic Distribution of Low-Dimensional Patterns Induced by Non-Differentiable Regularizers under General Loss Functions
par: Hejný, Ivan, et autres
Publié: (2025)

Predictive Inference via Kernel Density Estimates
par: Hilbert, Torey
Publié: (2026)

Improving variable selection properties with data integration and transfer learning
par: Rognon-Vael, Paul, et autres
Publié: (2025)

Estimating the tail index of Pareto-type distributions from geometric records
par: Alcalde, Martín, et autres
Publié: (2026)

Sparse factor models of high dimension
par: Poignard, Benjamin, et autres
Publié: (2023)

Eigenstructure inference for high-dimensional covariance with generalized shrinkage inverse-Wishart prior
par: Kim, Seongmin, et autres
Publié: (2025)

A sparsity test for multivariate Hawkes processes
par: Lotz, Antoine
Publié: (2024)

Two-Step Mixed-Type Multivariate Bayesian Sparse Variable Selection with Shrinkage Priors
par: Wang, Shao-Hsuan, et autres
Publié: (2022)

Minimum $Φ$-distance estimators for finite mixing measures
par: Wei, Yun, et autres
Publié: (2023)

Optimal shrinkage estimation in heteroscedastic hierarchical linear models
par: Kou, Samuel, et autres
Publié: (2015)

Statistical Inference for Homogenization Limits Driven by Wiener or Hermite Processes
par: Alonso-Martin, Pablo Ramses
Publié: (2026)

Criterion for the resemblance between the mother and the model distribution
par: Sheena, Yo
Publié: (2022)

MLE convergence speed to information projection of exponential family: Criterion for model dimension and sample size -- complete proof version--
par: Sheena, Yo
Publié: (2021)

Near optimal sample complexity for matrix and tensor normal models via geodesic convexity
par: Franks, Cole, et autres
Publié: (2021)

Tuning free Catoni type joint robust estimation
par: Li, Xiang, et autres
Publié: (2025)

Consistency of M-estimators for non-identically distributed data: the case of fixed-design distributional regression
par: Bücher, Axel, et autres
Publié: (2025)

Asymptotic behavior of the variance of the BLUE for the mean of stationary processes
par: Ginovyan, Mamikon S.
Publié: (2026)

Kernel Stein Discrepancy on Lie Groups: Theory and Applications
par: Qu, Xiaoda, et autres
Publié: (2023)

Efficient Inference on High-Dimensional Linear Models with Missing Outcomes
par: Zhang, Yikun, et autres
Publié: (2023)

Multiscale Autoregression on Adaptively Detected Timescales
par: Baranowski, Rafal, et autres
Publié: (2024)

Diaconis-Ylvisaker prior penalized likelihood for $p/n \to κ\in (0,1)$ logistic regression
par: Sterzinger, Philipp, et autres
Publié: (2023)

Statistical inference for extremal directions in high-dimensional spaces
par: Butsch, Lucas, et autres
Publié: (2026)

Likelihood Ratio test for Poisson graph
par: Shuyan, Chen, et autres
Publié: (2025)

Testing Independence of Infinite Dimensional Random Elements: A Sup-norm Approach
par: Bhar, Suprio, et autres
Publié: (2023)

Mathematical Theory of Collinearity Effects on Machine Learning Variable Importance Measures
par: Bladen, Kelvyn K., et autres
Publié: (2025)

Statistical Inference for the Rough Homogenization Limit of Multiscale Fractional Ornstein-Uhlenbeck Processes
par: Alonso-Martin, Pablo Ramses, et autres
Publié: (2024)

Layered Hill estimator for extreme data in clusters
par: Kang, Taegyu, et autres
Publié: (2024)

A Principled Approach to Bayesian Transfer Learning
par: Bretherton, Adam, et autres
Publié: (2025)

Projection predictive variable selection for discrete response families with finite support
par: Weber, Frank, et autres
Publié: (2023)

Simultaneous Heterogeneity and Reduced-rank Learning for Multivariate Response Regression
par: Wu, Jie, et autres
Publié: (2025)

Model selection by cross-validation in an expectile linear regression
par: Bousselmi, Bilel, et autres
Publié: (2026)

Estimating the hyperuniformity exponent of point processes
par: Mastrilli, Gabriel, et autres
Publié: (2024)

On Finite Time Span Estimators of Parameters for Ornstein-Uhlenbeck Processes
par: Han, Jun S., et autres
Publié: (2025)

Bayesian Analysis of Spiked Covariance Models: Correcting Eigenvalue Bias and Determining the Number of Spikes
par: Lee, Kwangmin, et autres
Publié: (2024)

From Tail Universality to Bernstein-von Mises: A Unified Statistical Theory of Semi-Implicit Variational Inference
par: Plummer, Sean
Publié: (2025)

Sparse maximum likelihood estimation for regression models
par: Tsao, Min
Publié: (2024)

Strategic Play and Home Advantage: Coaches' Tactical Impact in Serie A
par: Angelini, Francesco, et autres
Publié: (2025)

Why decision curves go above or below treat-all and treat-none: a PPV- and calibration-based guide for clinical prediction models
par: Hoessly, Linard
Publié: (2026)

Continuous Time Locally Stationary Wavelet Processes
par: Palasciano, Henry Antonio, et autres
Publié: (2023)