https://openreview.net/forum?id=pxStyaf2oJ5
Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation | OpenReview
Previous studies have shown that leveraging "domain index" can significantly boost domain adaptation performance (Wang et al., 2020; Xu et al., 2022). However,...
variational bayesdomainindexingadaptationopenreview
https://jmlr.org/papers/v22/21-0657.html
VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning
variational bayesdeep rladaptiveviameta
https://arxiv.org/abs/2206.09444
[2206.09444] Non-conjugate variational Bayes for pseudo-likelihood mixed effect models
Abstract page for arXiv paper 2206.09444: Non-conjugate variational Bayes for pseudo-likelihood mixed effect models
variational bayes
https://openreview.net/forum?id=2rBLbNJwBm&referrer=%5Bthe%20profile%20of%20Ola%20R%C3%B8nning%5D(%2Fprofile%3Fid%3D~Ola_R%C3%B8nning1)
ELBOing Stein: Variational Bayes with Stein Mixture Inference | OpenReview
variational bayessteinmixtureinferenceopenreview
https://deepai.org/publication/decision-making-with-auto-encoding-variational-bayes
Decision-Making with Auto-Encoding Variational Bayes | DeepAI
Feb 17, 2020 - 02/17/20 - To make decisions based on a model fit by Auto-Encoding Variational Bayes (AEVB), practitioners typically use importance sampling ...
decision makingvariational bayesautoencodingdeepai
https://openreview.net/forum?id=Z4499q83Td&referrer=%5Bthe%20profile%20of%20Alexander%20Tschantz%5D(%2Fprofile%3Fid%3D~Alexander_Tschantz1)
Variational Bayes Gaussian Splatting | OpenReview
3D Gaussian Splatting has shown that mixture models can be used to represent high-dimensional data, such as 3D scene representations. Currently, the most...
variational bayesgaussian splattingopenreview
https://www.unsw.edu.au/science/our-schools/maths/engage-with-us/seminars/2012/mean-field-variational-bayes-approaches-selection-linear-models
Mean field variational Bayes approaches to the selection of linear models | School of Mathematics...
to the selection
https://jmlr.org/papers/v22/21-0498.html
Quasi-Monte Carlo Quasi-Newton in Variational Bayes
monte carloquasinewtonvariationalbayes
https://openreview.net/forum?id=AHTz2mTlKk
Empirical Bayes Trend Filtering Through a Variational Inference Framework | OpenReview
This paper introduces a novel framework for Bayesian trend filtering using an empirical Bayes approach and a variational inference algorithm. Trend filtering...
empirical bayesvariational inferencetrendfilteringframework
https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2016.01422/full
Frontiers | Bayesian Prior Choice in IRT Estimation Using MCMC and Variational Bayes
This study investigated the impact of three prior distributions: matched, standard vague, and hierarchical in Bayesian estimation parameter recovery in two a...
bayesian prior
https://arxiv.org/abs/2301.04260
[2301.04260] Variational Bayes Inference for Data Detection in Cell-Free Massive MIMO
Abstract page for arXiv paper 2301.04260: Variational Bayes Inference for Data Detection in Cell-Free Massive MIMO