Copertina

Weighted Fisher divergence for high-dimensional Gaussian variational inference

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chen, Aoxiang, Nott, David J., Tan, Linda S. L.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Variational inference based on a subclass of closed skew normals
di: Tan, Linda S. L., et al.
Pubblicazione: (2023)

Optimization-centric cutting feedback for semiparametric models
di: Tan, Linda S. L., et al.
Pubblicazione: (2025)

Posterior risk of modular and semi-modular Bayesian inference
di: Frazier, David T., et al.
Pubblicazione: (2023)

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

Variational inference for hierarchical models with conditional scale and skewness corrections
di: Kock, Lucas, et al.
Pubblicazione: (2025)

Pooling information in likelihood-free inference
di: Frazier, David T., et al.
Pubblicazione: (2022)

Robust Bayesian methods using amortized simulation-based inference
di: Yuyan, Wang, et al.
Pubblicazione: (2025)

Predictive variational inference for flexible regression models
di: Kock, Lucas, et al.
Pubblicazione: (2026)

Partially factorized variational inference for high-dimensional mixed models
di: Goplerud, Max, et al.
Pubblicazione: (2023)

Rényi's $α$-divergence variational Bayes for spike-and-slab high-dimensional linear regression
di: Bsila, Chadi, et al.
Pubblicazione: (2025)

Batch and match: black-box variational inference with a score-based divergence
di: Cai, Diana, et al.
Pubblicazione: (2024)

Simulation-based Bayesian inference under model misspecification
di: Kelly, Ryan P., et al.
Pubblicazione: (2025)

Wasserstein Gaussianization and Efficient Variational Bayes for Robust Bayesian Synthetic Likelihood
di: Nguyen, Nhat-Minh, et al.
Pubblicazione: (2023)

Fast Variational Boosting for Latent Variable Models
di: Gunawan, David, et al.
Pubblicazione: (2025)

WISER: multimodal variational inference for full-waveform inversion without dimensionality reduction
di: Yin, Ziyi, et al.
Pubblicazione: (2024)

Organizational Adaptation to Generative AI in Cybersecurity
di: Nott, Christopher
Pubblicazione: (2025)

Detecting Conflicts in Evidence Synthesis Models Using Score Discrepancies
di: Yang, Fuming, et al.
Pubblicazione: (2025)

Least squares variational inference
di: Fay, Yvann Le, et al.
Pubblicazione: (2025)

Fisher meets Feynman: score-based variational inference with a product of experts
di: Cai, Diana, et al.
Pubblicazione: (2025)

Uncertainty quantification for mixed membership in multilayer networks with degree heterogeneity using Gaussian variational inference
di: Xie, Fangzheng, et al.
Pubblicazione: (2025)

A variational Bayes approach to debiased inference for low-dimensional parameters in high-dimensional linear regression
di: Castillo, Ismaël, et al.
Pubblicazione: (2024)

Maximum likelihood inference for high-dimensional problems with multiaffine variable relations
di: Brouillon, Jean-Sébastien, et al.
Pubblicazione: (2024)

Bayesian score calibration for approximate models
di: Bon, Joshua J, et al.
Pubblicazione: (2022)

MixFlows: principled variational inference via mixed flows
di: Xu, Zuheng, et al.
Pubblicazione: (2022)

Multi-objective Bayesian optimization for Likelihood-Free inference in sequential sampling models of decision making
di: Chen, David, et al.
Pubblicazione: (2024)

Scalable Bayesian inference for high-dimensional mixed-type multivariate spatial data
di: Mukherjee, Arghya, et al.
Pubblicazione: (2025)

High-order geometric integrators for the variational Gaussian approximation
di: Fereidani, Roya Moghaddasi, et al.
Pubblicazione: (2023)

Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference
di: Kelly, Ryan P., et al.
Pubblicazione: (2023)

EigenVI: score-based variational inference with orthogonal function expansions
di: Cai, Diana, et al.
Pubblicazione: (2024)

Two-dimensional early exit optimisation of LLM inference
di: Hůla, Jan, et al.
Pubblicazione: (2026)

Recursive variational Gaussian approximation with the Whittle likelihood for linear non-Gaussian state space models
di: Vu, Bao Anh, et al.
Pubblicazione: (2024)

Extending Cluster-Weighted Factor Analyzers for multivariate prediction and high-dimensional interpretability
di: Qin, Xiaoke, et al.
Pubblicazione: (2024)

A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields
di: Fan, Aoxiang, et al.
Pubblicazione: (2025)

Addressing Domain Discrepancy: A Dual-branch Collaborative Model to Unsupervised Dehazing
di: Fan, Shuaibin, et al.
Pubblicazione: (2024)

Zero-Reference Lighting Estimation Diffusion Model for Low-Light Image Enhancement
di: He, Jinhong, et al.
Pubblicazione: (2024)

Zero-Shot Low-Light Image Enhancement via Joint Frequency Domain Priors Guided Diffusion
di: He, Jinhong, et al.
Pubblicazione: (2024)

Artistic-style text detector and a new Movie-Poster dataset
di: Ning, Aoxiang, et al.
Pubblicazione: (2024)

River Dart Scale Reading Investigation 1972
di: Nott, F.J.
Pubblicazione: (1973)

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

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