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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

Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables ICML 2019
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels ICCV 2019
Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models ICML 2019
Variational Laplace Autoencoders ICML 2019
Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning ICCV 2019
Robust Variational Bayesian Point Set Registration ICCV 2019
Variational Inference of Penalized Regression with Submodular Functions UAI 2019
Block Neural Autoregressive Flow UAI 2019
Neural Gaussian Copula for Variational Autoencoder IJCNLP 2019
Long and Diverse Text Generation with Planning-based Hierarchical Variational Model IJCNLP 2019
Learning Latent Dynamics for Planning from Pixels ICML 2019
Multi-Object Representation Learning with Iterative Variational Inference ICML 2019
An Instability in Variational Inference for Topic Models ICML 2019
Deep Generative Learning via Variational Gradient Flow ICML 2019
Variational Inference for sparse network reconstruction from count data ICML 2019
Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces ICML 2019
Efficient optimization of loops and limits with randomized telescoping sums ICML 2019
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs ICML 2019
Infinite Mixture Prototypes for Few-shot Learning ICML 2019
The LORACs Prior for VAEs: Letting the Trees Speak for the Data AISTATS 2019
Reparameterizing Distributions on Lie Groups AISTATS 2019
Bayesian Learning of Neural Network Architectures AISTATS 2019
Comparative Study of Parametric and Representation Uncertainty Modeling for Recurrent Neural Network Language Models INTERSPEECH 2019
Privacy-Preserving Variational Information Feature Extraction for Domestic Activity Monitoring versus Speaker Identification INTERSPEECH 2019
On Variational Bounds of Mutual Information ICML 2019