Image de couverture de livre

Weighted Fisher divergence for high-dimensional Gaussian variational inference

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Chen, Aoxiang, Nott, David J., Tan, Linda S. L.
Format:	Preprint
Publié:	2025
Sujets:	Computation
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Variational inference based on a subclass of closed skew normals
par: Tan, Linda S. L., et autres
Publié: (2023)

Optimization-centric cutting feedback for semiparametric models
par: Tan, Linda S. L., et autres
Publié: (2025)

Posterior risk of modular and semi-modular Bayesian inference
par: Frazier, David T., et autres
Publié: (2023)

Analytic natural gradient updates for Cholesky factor in Gaussian variational approximation
par: Tan, Linda S. L.
Publié: (2021)

Variational inference for hierarchical models with conditional scale and skewness corrections
par: Kock, Lucas, et autres
Publié: (2025)

Pooling information in likelihood-free inference
par: Frazier, David T., et autres
Publié: (2022)

Robust Bayesian methods using amortized simulation-based inference
par: Yuyan, Wang, et autres
Publié: (2025)

Predictive variational inference for flexible regression models
par: Kock, Lucas, et autres
Publié: (2026)

Partially factorized variational inference for high-dimensional mixed models
par: Goplerud, Max, et autres
Publié: (2023)

Rényi's $α$-divergence variational Bayes for spike-and-slab high-dimensional linear regression
par: Bsila, Chadi, et autres
Publié: (2025)

Batch and match: black-box variational inference with a score-based divergence
par: Cai, Diana, et autres
Publié: (2024)

Simulation-based Bayesian inference under model misspecification
par: Kelly, Ryan P., et autres
Publié: (2025)

Wasserstein Gaussianization and Efficient Variational Bayes for Robust Bayesian Synthetic Likelihood
par: Nguyen, Nhat-Minh, et autres
Publié: (2023)

Fast Variational Boosting for Latent Variable Models
par: Gunawan, David, et autres
Publié: (2025)

WISER: multimodal variational inference for full-waveform inversion without dimensionality reduction
par: Yin, Ziyi, et autres
Publié: (2024)

Organizational Adaptation to Generative AI in Cybersecurity
par: Nott, Christopher
Publié: (2025)

Detecting Conflicts in Evidence Synthesis Models Using Score Discrepancies
par: Yang, Fuming, et autres
Publié: (2025)

Least squares variational inference
par: Fay, Yvann Le, et autres
Publié: (2025)

Fisher meets Feynman: score-based variational inference with a product of experts
par: Cai, Diana, et autres
Publié: (2025)

Uncertainty quantification for mixed membership in multilayer networks with degree heterogeneity using Gaussian variational inference
par: Xie, Fangzheng, et autres
Publié: (2025)

A variational Bayes approach to debiased inference for low-dimensional parameters in high-dimensional linear regression
par: Castillo, Ismaël, et autres
Publié: (2024)

Maximum likelihood inference for high-dimensional problems with multiaffine variable relations
par: Brouillon, Jean-Sébastien, et autres
Publié: (2024)

Bayesian score calibration for approximate models
par: Bon, Joshua J, et autres
Publié: (2022)

MixFlows: principled variational inference via mixed flows
par: Xu, Zuheng, et autres
Publié: (2022)

Multi-objective Bayesian optimization for Likelihood-Free inference in sequential sampling models of decision making
par: Chen, David, et autres
Publié: (2024)

Scalable Bayesian inference for high-dimensional mixed-type multivariate spatial data
par: Mukherjee, Arghya, et autres
Publié: (2025)

High-order geometric integrators for the variational Gaussian approximation
par: Fereidani, Roya Moghaddasi, et autres
Publié: (2023)

Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference
par: Kelly, Ryan P., et autres
Publié: (2023)

EigenVI: score-based variational inference with orthogonal function expansions
par: Cai, Diana, et autres
Publié: (2024)

Two-dimensional early exit optimisation of LLM inference
par: Hůla, Jan, et autres
Publié: (2026)

Recursive variational Gaussian approximation with the Whittle likelihood for linear non-Gaussian state space models
par: Vu, Bao Anh, et autres
Publié: (2024)

Extending Cluster-Weighted Factor Analyzers for multivariate prediction and high-dimensional interpretability
par: Qin, Xiaoke, et autres
Publié: (2024)

A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields
par: Fan, Aoxiang, et autres
Publié: (2025)

Addressing Domain Discrepancy: A Dual-branch Collaborative Model to Unsupervised Dehazing
par: Fan, Shuaibin, et autres
Publié: (2024)

Zero-Reference Lighting Estimation Diffusion Model for Low-Light Image Enhancement
par: He, Jinhong, et autres
Publié: (2024)

Zero-Shot Low-Light Image Enhancement via Joint Frequency Domain Priors Guided Diffusion
par: He, Jinhong, et autres
Publié: (2024)

Artistic-style text detector and a new Movie-Poster dataset
par: Ning, Aoxiang, et autres
Publié: (2024)

River Dart Scale Reading Investigation 1972
par: Nott, F.J.
Publié: (1973)

Rivers Taw and Torridge scale reading investigation. 8th annual report for the 1972 season
par: Nott, F.J.
Publié: (1973)

River Exe Scale Reading Investigation. 6th Annual Report for the 1971 Season.
par: Nott, F.J.
Publié: (1971)