conftrace_
← Models
Deep Learning › Models ›

Variational Inference

1,952 papers

Papers per year

2
9
31
252
103
'05
'10
'15
'20
'25

Papers

VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning NIPS 2017
Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space NIPS 2017
Fast amortized inference of neural activity from calcium imaging data with variational autoencoders NIPS 2017
Hierarchical Implicit Models and Likelihood-Free Variational Inference NIPS 2017
Context Selection for Embedding Models NIPS 2017
Neural Discrete Representation Learning NIPS 2017
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning NIPS 2017
Doubly Stochastic Variational Inference for Deep Gaussian Processes NIPS 2017
Z-Forcing: Training Stochastic Recurrent Networks NIPS 2017
Causal Effect Inference with Deep Latent-Variable Models NIPS 2017
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization NIPS 2017
Learning Disentangled Representations with Semi-Supervised Deep Generative Models NIPS 2017
AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms NIPS 2017
Perturbative Black Box Variational Inference NIPS 2017
Scalable Variational Inference for Dynamical Systems NIPS 2017
Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference NIPS 2017
Variational Inference for Gaussian Process Models with Linear Complexity NIPS 2017
Filtering Variational Objectives NIPS 2017
Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction ACL 2017
Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders ACL 2017
A Generative Parser with a Discriminative Recognition Algorithm ACL 2017
A Conditional Variational Framework for Dialog Generation ACL 2017
Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms AISTATS 2017
Conjugate-Computation Variational Inference : Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models AISTATS 2017
Scalable Variational Inference for Super Resolution Microscopy AISTATS 2017