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Variational Inference

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Showing 2001–2050 of 2274 papers

TitleStatusHype
Nonparametric Variational Auto-encoders for Hierarchical Representation Learning—0
Matched bipartite block model with covariates—0
Conjugate-Computation Variational Inference : Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate ModelsCode0
Dropout Inference in Bayesian Neural Networks with Alpha-divergencesCode0
Autoencoding Variational Inference For Topic ModelsCode1
Gauging Variational Inference—0
Hierarchical Implicit Models and Likelihood-Free Variational Inference—0
Semi-parametric Network Structure Discovery Models—0
Variational Inference using Implicit Distributions—0
Dynamic Word EmbeddingsCode0
Scalable Inference for Nested Chinese Restaurant Process Topic Models—0
Generative Temporal Models with Memory—0
Variational Policy for Guiding Point Processes—0
Truncation-free Hybrid Inference for DPMM—0
Deep Probabilistic Programming—0
Coupled Compound Poisson Factorization—0
Asynchronous Temporal Fields for Action RecognitionCode0
Recurrent Image Captioner: Describing Images with Spatial-Invariant Transformation and Attention Filtering—0
Disentangling Space and Time in Video with Hierarchical Variational Auto-encoders—0
Connection Discovery using Shared Images by Gaussian Relational Topic Model—0
Monte Carlo Structured SVI for Two-Level Non-Conjugate Models—0
Semi-Supervised Learning with the Deep Rendering Mixture Model—0
The Generalized Reparameterization Gradient—0
Improved Variational Inference with Inverse Autoregressive FlowCode0
Cooperative Graphical Models—0
Variational Inference in Mixed Probabilistic Submodular Models—0
Piecewise Latent Variables for Neural Variational Text ProcessingCode0
Two Methods For Wild Variational Inference—0
Deep Quantization: Encoding Convolutional Activations with Deep Generative Model—0
Robust Variational Inference—0
Inducing Interpretable Representations with Variational Autoencoders—0
Variational Boosting: Iteratively Refining Posterior ApproximationsCode0
Faster variational inducing input Gaussian process classification—0
Boosting Variational Inference—0
Deep Variational Inference Without Pixel-Wise Reconstruction—0
Using Social Dynamics to Make Individual Predictions: Variational Inference with a Stochastic Kinetic Model—0
Robustly representing uncertainty in deep neural networks through sampling—0
Information Dropout: Learning Optimal Representations Through Noisy ComputationCode0
Stochastic Variational Deep Kernel Learning—0
Variational Inference via χ-Upper Bound Minimization—0
Geometric Dirichlet Means algorithm for topic inference—0
Rapid Posterior Exploration in Bayesian Non-negative Matrix Factorization—0
GPflow: A Gaussian process library using TensorFlowCode2
Stratification of patient trajectories using covariate latent variable modelsCode0
Differentially Private Variational Inference for Non-conjugate ModelsCode1
Operator Variational Inference—0
Mean-Field Variational Inference for Gradient Matching with Gaussian Processes—0
Reparameterization Gradients through Acceptance-Rejection Sampling AlgorithmsCode0
Amortised MAP Inference for Image Super-resolution—0
Random Feature Expansions for Deep Gaussian ProcessesCode0
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