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variational inference

2069 papers

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VI

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

From Patches to Images: A Nonparametric Generative Model ICML 2017
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization NIPS 2017
Tied Variational Autoencoder Backends for i-Vector Speaker Recognition INTERSPEECH 2017
Model-based Bayesian inference of neural activity and connectivity from all-optical interrogation of a neural circuit NIPS 2017
Neural Variational Inference and Learning in Undirected Graphical Models NIPS 2017
Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes NIPS 2017
Differentiable Learning of Submodular Models NIPS 2017
Deep Dynamic Poisson Factorization Model NIPS 2017
Variational Inference via $\chi$ Upper Bound Minimization NIPS 2017
Context Selection for Embedding Models NIPS 2017
Excess Risk Bounds for the Bayes Risk using Variational Inference in Latent Gaussian Models NIPS 2017
Doubly Stochastic Variational Inference for Deep Gaussian Processes NIPS 2017
Deep Multi-task Gaussian Processes for Survival Analysis with Competing Risks NIPS 2017
Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction ACL 2017
A Hybrid Convolutional Variational Autoencoder for Text Generation EMNLP 2017
Z-Forcing: Training Stochastic Recurrent Networks NIPS 2017
AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms NIPS 2017
Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models NIPS 2017
A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks NIPS 2017
Convolutional Gaussian Processes NIPS 2017
Robust Asymmetric Bayesian Adaptive Matrix Factorization IJCAI 2017
On the Hyperprior Choice for the Global Shrinkage Parameter in the Horseshoe Prior AISTATS 2017
Variational Particle Approximations JMLR 2017
Latent Intention Dialogue Models ICML 2017
Distributed Bayesian Learning with Stochastic Natural Gradient Expectation Propagation and the Posterior Server JMLR 2017