conftrace_

latent gaussian model

14 papers

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Also known as

LGM

Co-occurring keywords

variational inference (2069) gaussian process (1200) bayesian inference (1907) laplace approximation (70) markov chain monte carlo (725) variational expectation-maximization (7) topic model (290) expectation propagation (86) posterior marginal (2) categorical data analysis (1)

Papers

Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models ICML 2023
Infinite ShapeOdds: Nonparametric Bayesian Models for Shape Representations AAAI 2020
Hamiltonian Monte Carlo using an adjoint-differentiated Laplace approximation: Bayesian inference for latent Gaussian models and beyond NIPS 2020
Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian Model NIPS 2019
Learning Deep Latent Gaussian Models with Markov Chain Monte Carlo ICML 2017
Excess Risk Bounds for the Bayes Risk using Variational Inference in Latent Gaussian Models NIPS 2017
A Fixed-Point Operator for Inference in Variational Bayesian Latent Gaussian Models AISTATS 2016
Dependent Multinomial Models Made Easy: Stick-Breaking with the Polya-gamma Augmentation NIPS 2015
Latent Gaussian Models for Topic Modeling AISTATS 2014
Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models ICML 2013
A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models AISTATS 2012
Approximate Marginals in Latent Gaussian Models JMLR 2011
Improving posterior marginal approximations in latent Gaussian models AISTATS 2010
Slice sampling covariance hyperparameters of latent Gaussian models NIPS 2010