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Variational Inference

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TitleStatusHype
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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