Poster "posterior approximation" Papers

6 papers found

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Conference

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HoT-VI: Reparameterizable Variational Inference for Capturing Instance-Level High-Order Correlations

Junxi Xiao, Qinliang Su, Zexin Yuan

NEURIPS 2025

Model-Informed Flows for Bayesian Inference

Joohwan Ko, Justin Domke

NEURIPS 2025arXiv:2505.24243

Scalable Bayesian Learning with posteriors

Samuel Duffield, Kaelan Donatella, Johnathan Chiu et al.

ICLR 2025arXiv:2406.00104
7
citations

Variational Bayesian Pseudo-Coreset

Hyungi Lee, Seungyoo Lee, Juho Lee

ICLR 2025arXiv:2502.21143

$\mathtt{VITS}$ : Variational Inference Thompson Sampling for contextual bandits

Pierre Clavier, Tom Huix, Alain Oliviero Durmus

ICML 2024

Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference

JIAN XU, Delu Zeng, John Paisley

ICML 2024arXiv:2407.17033
13
citations