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Variational Inference

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TitleStatusHype
Pathwise Derivatives Beyond the Reparameterization TrickCode0
Pathwise Derivatives for Multivariate Distributions—0
Reparameterization Gradient for Non-differentiable ModelsCode0
Cyberattack Detection using Deep Generative Models with Variational Inference—0
Wasserstein Variational Inference—0
Hamiltonian Variational Auto-EncoderCode0
Forward Amortized Inference for Likelihood-Free Variational Marginalization—0
Disentangling by Partitioning: A Representation Learning Framework for Multimodal Sensory Data—0
Discrete flow posteriors for variational inference in discrete dynamical systems—0
A Stochastic Decoder for Neural Machine Translation—0
Semi-Implicit Variational InferenceCode0
Ergodic Inference: Accelerate Convergence by Optimisation—0
An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm—0
Efficient Inference in Multi-task Cox Process ModelsCode0
Uncertainty-Aware Attention for Reliable Interpretation and PredictionCode0
Variational Inference for Data-Efficient Model Learning in POMDPs—0
Amortized Context Vector Inference for Sequence-to-Sequence Networks—0
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers—0
Bayesian posterior approximation via greedy particle optimization—0
Heterogeneous Multi-output Gaussian Process PredictionCode0
Sampling-Free Variational Inference of Bayesian Neural Networks by Variance BackpropagationCode0
Approximate Bayesian inference in spatial environments—0
A Forest Mixture Bound for Block-Free Parallel Inference—0
NASH: Toward End-to-End Neural Architecture for Generative Semantic HashingCode0
Alpha-Beta Divergence For Variational Inference—0
Variational Inference In Pachinko Allocation Machines—0
Scalable Factorized Hierarchical Variational Autoencoder TrainingCode0
Variational Rejection Sampling—0
Graphite: Iterative Generative Modeling of GraphsCode0
Pseudo-marginal Bayesian inference for supervised Gaussian process latent variable models—0
Stochastic Variational Inference with Gradient Linearization—0
Natural Gradients in Practice: Non-Conjugate Variational Inference in Gaussian Process Models—0
Scalable Generalized Dynamic Topic ModelsCode0
Variational Knowledge Graph Reasoning—0
Variational Message Passing with Structured Inference NetworksCode0
Variational zero-inflated Gaussian processes with sparse kernelsCode0
Variational Inference for Gaussian Process with Panel Count Data—0
Deep Network Regularization via Bayesian Inference of Synaptic Connectivity—0
Beyond black-boxes in Bayesian inverse problems and model validation: applications in solid mechanics of elastography—0
Approximate Inference for Constructing Astronomical Catalogs from ImagesCode0
ADMM-based Networked Stochastic Variational Inference—0
Learning Causally-Generated Stationary Time Series—0
Variational Inference for Policy Gradient—0
Distribution Matching in Variational Inference—0
Heron Inference for Bayesian Graphical ModelsCode0
Constraining the Dynamics of Deep Probabilistic Models—0
Augment and Reduce: Stochastic Inference for Large Categorical DistributionsCode0
Black-box Variational Inference for Stochastic Differential EquationsCode0
Semi-Amortized Variational AutoencodersCode0
Yes, but Did It Work?: Evaluating Variational InferenceCode0
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