Poster "posterior approximation" Papers
6 papers found
Conference
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