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Variational Inference

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TitleStatusHype
The Generalized Reparameterization Gradient—0
Algorithms for item categorization based on ordinal ranking data—0
Variational Inference with Hamiltonian Monte Carlo—0
Gray-box inference for structured Gaussian process models—0
Private Topic Modeling—0
Efficient Continuous Relaxations for Dense CRF—0
Dynamic Collaborative Filtering with Compound Poisson Factorization—0
Stein Variational Gradient Descent: A General Purpose Bayesian Inference AlgorithmCode1
Scalable Modeling of Multivariate Longitudinal Data for Prediction of Chronic Kidney Disease Progression—0
Scaling Factorial Hidden Markov Models: Stochastic Variational Inference without Messages—0
Multiple scan data association by convex variational inference—0
Stochastic Backpropagation through Mixture Density Distributions—0
Combining Random Walks and Nonparametric Bayesian Topic Model for Community Detection—0
Unsupervised Learning with Imbalanced Data via Structure Consolidation Latent Variable Model—0
Disease Trajectory Maps—0
Automatic Variational ABC—0
Improving Variational Inference with Inverse Autoregressive FlowCode1
Spreadsheet Probabilistic Programming—0
Generative Topic Embedding: a Continuous Representation of Documents (Extended Version with Proofs)Code0
VIME: Variational Information Maximizing ExplorationCode0
Extreme Stochastic Variational Inference: Distributed and Asynchronous—0
Linear dynamical neural population models through nonlinear embeddingsCode0
Sequential Neural Models with Stochastic LayersCode0
Variational hybridization and transformation for large inaccurate noisy-or networks—0
Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw DataCode0
Variational inference for rare variant detection in deep, heterogeneous next-generation sequencing data—0
Variational Bayesian Inference of Line Spectra—0
Correlated Equilibria for Approximate Variational Inference in MRFs—0
Nonparametric Spherical Topic Modeling with Word EmbeddingsCode0
Submodular Variational Inference for Network Reconstruction—0
Composing graphical models with neural networks for structured representations and fast inferenceCode0
Fast moment estimation for generalized latent Dirichlet models—0
Online but Accurate Inference for Latent Variable Models with Local Gibbs Sampling—0
Overdispersed Black-Box Variational Inference—0
Automatic Differentiation Variational InferenceCode1
A Structured Variational Auto-encoder for Learning Deep Hierarchies of Sparse Features—0
Max-Margin Nonparametric Latent Feature Models for Link Prediction—0
Variational Inference for On-line Anomaly Detection in High-Dimensional Time Series—0
Variational inference for Monte Carlo objectivesCode0
Variational Inference for Sparse and Undirected Models—0
A Variational Analysis of Stochastic Gradient Algorithms—0
Rényi Divergence Variational InferenceCode0
A Robust UCB Scheme for Active Learning in Regression from Strategic Crowds—0
Online Prediction of Dyadic Data with Heterogeneous Matrix Factorization—0
Blind Image Denoising via Dependent Dirichlet Process Tree—0
Variational Inference: A Review for StatisticiansCode1
Distributed Bayesian Learning with Stochastic Natural-gradient Expectation Propagation and the Posterior Server—0
Deep Poisson Factorization Machines: factor analysis for mapping behaviors in journalist ecosystem—0
A Theoretically Grounded Application of Dropout in Recurrent Neural NetworksCode0
Scalable Modeling of Conversational-role based Self-presentation Characteristics in Large Online Forums—0
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