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Variational Inference

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TitleStatusHype
ISA-VAE: Independent Subspace Analysis with Variational Autoencoders—0
VHEGAN: Variational Hetero-Encoder Randomized GAN for Zero-Shot Learning—0
Amortized Bayesian Meta-Learning—0
Auxiliary Variational MCMCCode0
Variational Bayesian Phylogenetic Inference—0
Neural Variational Inference For Embedding Knowledge Graphs—0
Design of Communication Systems using Deep Learning: A Variational Inference PerspectiveCode0
Effective Estimation of Deep Generative Language ModelsCode0
Copula-like Variational InferenceCode0
Variational Bayes for high-dimensional linear regression with sparse priors—0
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
Variational autoencoders trained with q-deformed lower bounds—0
Learning Deep Latent-variable MRFs with Amortized Bethe Free Energy Minimization—0
Understanding Posterior Collapse in Generative Latent Variable Models—0
Smoothing Nonlinear Variational Objectives with Sequential Monte Carlo—0
Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder—0
Variational Inference with Latent Space Quantization for Adversarial ResilienceCode0
Combining Model and Parameter Uncertainty in Bayesian Neural NetworksCode0
Approximating exponential family models (not single distributions) with a two-network architecture—0
Deep Gaussian Processes for Multi-fidelity ModelingCode0
Learning proposals for sequential importance samplers using reinforced variational inference—0
Functional Variational Bayesian Neural NetworksCode0
Variational Bayesian Optimal Experimental DesignCode0
Elements of Sequential Monte Carlo—0
Scalable Grouped Gaussian Processes via Direct Cholesky Functional Representations—0
Variational Inference of Joint Models using Multivariate Gaussian Convolution Processes—0
NeuTra-lizing Bad Geometry in Hamiltonian Monte Carlo Using Neural Transport—0
The Variational Predictive Natural GradientCode0
Theoretical guarantees for sampling and inference in generative models with latent diffusions—0
Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future—0
Multi-Object Representation Learning with Iterative Variational InferenceCode0
Training Variational Autoencoders with Buffered Stochastic Variational Inference—0
Function Space Particle Optimization for Bayesian Neural NetworksCode0
Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era—0
Variational Inference to Measure Model Uncertainty in Deep Neural Networks—0
Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable ModelsCode0
Where Do Human Heuristics Come From?—0
Differentially Private Continual Learning—0
On the Convergence of Extended Variational Inference for Non-Gaussian Statistical Models—0
Gaussian Mean Field Regularizes by Limiting Learned Information—0
A physics-aware, probabilistic machine learning framework for coarse-graining high-dimensional systems in the Small Data regimeCode0
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