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variational inference

2069 papers

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Also known as

VI-NET VRNN VBI SVI VIBE VQ-VAE ADVI VARNET MCVI PARVI SAVI VI VAE VMP VB BBVI ELBO VIB

Co-occurring keywords

bayesian inference (1904) gaussian process (1198) generative model (2889) variational autoencoder (1282) latent variable model (564) probabilistic modeling (851) representation learning (6174) uncertainty quantification (1365) latent variable (541) approximate inference (253)

Papers

Semi-Supervised Prediction-Constrained Topic Models AISTATS 2018
Learning to Round for Discrete Labeling Problems AISTATS 2018
Variational Sequential Monte Carlo AISTATS 2018
Variational Rejection Sampling AISTATS 2018
Variational Inference based on Robust Divergences AISTATS 2018
Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition AISTATS 2018
Natural Gradients in Practice: Non-Conjugate Variational Inference in Gaussian Process Models AISTATS 2018
Boosting Variational Inference: an Optimization Perspective AISTATS 2018
Learning Priors for Invariance AISTATS 2018
Optimal Submodular Extensions for Marginal Estimation AISTATS 2018
Fight Ill-Posedness With Ill-Posedness: Single-Shot Variational Depth Super-Resolution From Shading CVPR 2018
Reparameterizing the Birkhoff Polytope for Variational Permutation Inference AISTATS 2018
Bayesian Approaches to Distribution Regression AISTATS 2018
Noisy Natural Gradient as Variational Inference ICML 2018
Scaling up the Automatic Statistician: Scalable Structure Discovery using Gaussian Processes AISTATS 2018
Gauged Mini-Bucket Elimination for Approximate Inference AISTATS 2018
Can clustering scale sublinearly with its clusters? A variational EM acceleration of GMMs and k-means AISTATS 2018
Feature-correlation-aware Gaussian Process Latent Variable Model ACML 2018
Amortized Inference Regularization NIPS 2018
Probabilistic Model-Agnostic Meta-Learning NIPS 2018
Cluster Variational Approximations for Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data NIPS 2018
Dirichlet belief networks for topic structure learning NIPS 2018
Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with $\beta$-Divergences NIPS 2018
Accurate and Diverse Sampling of Sequences Based on a “Best of Many” Sample Objective CVPR 2018
Deep Generative Markov State Models NIPS 2018