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Variational Inference

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Showing 2026–2050 of 2274 papers

TitleStatusHype
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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