conftrace_

variational approximation

32 papers

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Co-occurring keywords

variational inference (2069) bayesian inference (1907) dynamical system (398) neural network (6616) kl divergence (196) approximate inference (253) posterior approximation (132) generative model (2892) hidden markov model (302) probabilistic model (476)

Papers

A Framework for Improving the Reliability of Black-box Variational Inference JMLR 2024
Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inference AISTATS 2024
A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression JMLR 2024
Wasserstein Proximal Coordinate Gradient Algorithms JMLR 2024
Learning with Explanation Constraints NIPS 2023
On the Robustness to Misspecification of α-posteriors and Their Variational Approximations JMLR 2022
A Class of Conjugate Priors for Multinomial Probit Models which Includes the Multivariate Normal One JMLR 2022
Statistical Optimality and Stability of Tangent Transform Algorithms in Logit Models JMLR 2022
Iterative Alignment Flows AISTATS 2022
A variational approximation for analyzing the dynamics of panel data UAI 2021
Personalized Input-Output Hidden Markov Models for Disease Progression Modeling MLHC 2020
Iterative Channel Estimation for Discrete Denoising under Channel Uncertainty UAI 2020
Structure Learning from Related Data Sets with a Hierarchical Bayesian Score PGM 2020
CompareLDA: A Topic Model for Document Comparison AAAI 2019
Minimax Online Prediction of Varying Bernoulli Process under Variational Approximation ACML 2019
Temporal alignment and latent Gaussian process factor inference in population spike trains NIPS 2018
Robust Locally-Linear Controllable Embedding AISTATS 2018
Learning to Explain: An Information-Theoretic Perspective on Model Interpretation ICML 2018
Efficient and Flexible Inference for Stochastic Systems NIPS 2017
Relationship between PreTraining and Maximum Likelihood Estimation in Deep Boltzmann Machines AISTATS 2016
A Hybrid Approach for Probabilistic Inference using Random Projections ICML 2015
Polya-gamma augmentations for factor models ACML 2014
Online Learning of Nonparametric Mixture Models via Sequential Variational Approximation NIPS 2013
Kernelized Bayesian Matrix Factorization ICML 2013
That was fast! Speeding up NN search of high dimensional distributions. ICML 2013