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Variational Inference

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TitleStatusHype
Variational Information Bottleneck for Unsupervised Clustering: Deep Gaussian Mixture Embedding—0
Walsh-Hadamard Variational Inference for Bayesian Deep Learning—0
A Flexible Generative Framework for Graph-based Semi-supervised LearningCode0
Variational Bayes: A report on approaches and applications—0
Variational Inference for Sparse Gaussian Process Modulated Hawkes ProcessCode0
Neural Stochastic Differential Equations: Deep Latent Gaussian Models in the Diffusion Limit—0
Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data AugmentationCode0
Unsupervised Linear and Nonlinear Channel Equalization and Decoding using Variational Autoencoders—0
Leveraging Bayesian Analysis To Improve Accuracy of Approximate Models—0
MaxEntropy Pursuit Variational Inference—0
Sliced Score Matching: A Scalable Approach to Density and Score EstimationCode1
Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature SpacesCode1
Efficient Optimization of Loops and Limits with Randomized Telescoping SumsCode0
Moment-Based Variational Inference for Markov Jump Processes—0
Deep Gaussian Processes with Importance-Weighted Variational InferenceCode0
Hierarchical Importance Weighted AutoencodersCode0
Variational inference for neural network matrix factorization and its application to stochastic blockmodeling—0
A Contrastive Divergence for Combining Variational Inference and MCMCCode0
Random Function Priors for Correlation ModelingCode0
Importance Weighted Hierarchical Variational InferenceCode0
Optimal Control of Complex Systems through Variational Inference with a Discrete Event Decision Process—0
A Statistically Principled and Computationally Efficient Approach to Speech Enhancement using Variational Autoencoders—0
Modeling the Long Term Future in Model-Based Reinforcement Learning—0
Variational Bayesian Phylogenetic Inference—0
ISA-VAE: Independent Subspace Analysis with Variational Autoencoders—0
Variational Domain Adaptation—0
Amortized Bayesian Meta-Learning—0
Neural Variational Inference For Embedding Knowledge Graphs—0
VHEGAN: Variational Hetero-Encoder Randomized GAN for Zero-Shot Learning—0
Modular Deep Probabilistic ProgrammingCode0
Auxiliary Variational MCMCCode0
Design of Communication Systems using Deep Learning: A Variational Inference PerspectiveCode0
Effective Estimation of Deep Generative Language ModelsCode0
Variational Bayes for high-dimensional linear regression with sparse priors—0
Copula-like Variational InferenceCode0
Variational Inference for Computational Imaging Inverse Problems—0
Inferring the quantum density matrix with machine learning—0
Variational AutoEncoder For Regression: Application to Brain Aging AnalysisCode0
Novel Uncertainty Framework for Deep Learning Ensembles—0
A Generalization Bound for Online Variational Inference—0
Unsupervised Recurrent Neural Network GrammarsCode0
Robust Deep Gaussian Processes—0
Generalized Variational Inference: Three arguments for deriving new PosteriorsCode0
Correlated Parameters to Accurately Measure Uncertainty in Deep Neural Networks—0
Perturbative estimation of stochastic gradients—0
Understanding Posterior Collapse in Generative Latent Variable Models—0
Variational autoencoders trained with q-deformed lower bounds—0
Learning Deep Latent-variable MRFs with Amortized Bethe Free Energy Minimization—0
Smoothing Nonlinear Variational Objectives with Sequential Monte Carlo—0
Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder—0
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