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Variational Inference

802 papers

Papers per year

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33
100
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Papers

Variational Knowledge Graph Reasoning NAACL 2018
Identification of Gaussian Process State Space Models NIPS 2017
Stein Variational Gradient Descent as Gradient Flow NIPS 2017
Differentiable Learning of Submodular Models NIPS 2017
A-NICE-MC: Adversarial Training for MCMC NIPS 2017
f-GANs in an Information Geometric Nutshell NIPS 2017
Reducing Reparameterization Gradient Variance NIPS 2017
Variational Inference via $\chi$ Upper Bound Minimization NIPS 2017
VAE Learning via Stein Variational Gradient Descent 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
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
Concrete Dropout NIPS 2017
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization NIPS 2017
Tomography of the London Underground: a Scalable Model for Origin-Destination Data NIPS 2017
Perturbative Black Box Variational Inference NIPS 2017
Neural Expectation Maximization NIPS 2017
Expectation Propagation with Stochastic Kinetic Model in Complex Interaction Systems NIPS 2017
Structured Bayesian Pruning via Log-Normal Multiplicative Noise NIPS 2017
A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering NIPS 2017
Efficient and Flexible Inference for Stochastic Systems NIPS 2017
From Bayesian Sparsity to Gated Recurrent Nets NIPS 2017
Scalable Variational Inference for Dynamical Systems NIPS 2017