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Variational Inference

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Showing 2001–2050 of 2274 papers

TitleStatusHype
Scalable Variational Inference for Dynamical SystemsCode0
Approximate Bayesian inference as a gauge theory—0
Co-clustering through Optimal Transport—0
Learning Hard Alignments with Variational Inference—0
Stochastic Divergence Minimization for Biterm Topic Model—0
Learning Multimodal Transition Dynamics for Model-Based Reinforcement LearningCode0
Importance Sampled Stochastic Optimization for Variational Inference—0
Multi-View Image Generation from a Single-View—0
Parametric Gaussian Process Regression for Big DataCode0
Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational InferenceCode0
BIISQ: Bayesian nonparametric discovery of Isoforms and Individual Specific QuantificationCode0
Nonparametric Variational Auto-encoders for Hierarchical Representation Learning—0
A Deterministic Global Optimization Method for Variational Inference—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
Gauging Variational Inference—0
Hierarchical Implicit Models and Likelihood-Free Variational Inference—0
Dynamic Word EmbeddingsCode0
Semi-parametric Network Structure Discovery Models—0
Variational Inference using Implicit Distributions—0
Scalable Inference for Nested Chinese Restaurant Process Topic Models—0
Generative Temporal Models with Memory—0
Variational Policy for Guiding Point Processes—0
Deep Probabilistic Programming—0
Truncation-free Hybrid Inference for DPMM—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
Variational Inference in Mixed Probabilistic Submodular Models—0
Improved Variational Inference with Inverse Autoregressive FlowCode0
The Generalized Reparameterization Gradient—0
Cooperative Graphical 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
Variational Inference via χ-Upper Bound Minimization—0
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