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Variational Inference

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TitleStatusHype
Variational Approximation Error in Bayesian Non-negative Matrix FactorizationCode0
Non-Parametric Variational Inference with Graph Convolutional Networks for Gaussian Processes—0
VOS: a Method for Variational Oversampling of Imbalanced DataCode0
Coherence-Aware Neural Topic ModelingCode0
Improving Explorability in Variational Inference with Annealed Variational ObjectivesCode0
t-Exponential Memory Networks for Question-Answering Machines—0
Importance Weighting and Variational Inference—0
Learning Supervised Topic Models for Classification and Regression from Crowds—0
Learning Invariances using the Marginal Likelihood—0
A Novel Method for Epileptic Seizure Detection Using Coupled Hidden Markov Models—0
Linked Causal Variational Autoencoder for Inferring Paired Spillover EffectsCode0
Unbiased Implicit Variational InferenceCode0
Interaction-Aware Topic Model for Microblog Conversations through Network Embedding and User Attention—0
ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary NetworksCode0
Deep Encoder-Decoder Models for Unsupervised Learning of Controllable Speech Synthesis—0
Auto-Encoding Variational Neural Machine TranslationCode0
Infinite Mixture of Inverted Dirichlet Distributions—0
Variational Option Discovery Algorithms—0
Iterative Amortized InferenceCode0
Variational Inference: A Unified Framework of Generative Models and Some Revelations—0
Fast yet Simple Natural-Gradient Descent for Variational Inference in Complex ModelsCode0
Distributed Variational Representation Learning—0
Generative Adversarial Networks with Decoder-Encoder Output NoiseCode0
Latent Alignment and Variational AttentionCode0
A Variational Time Series Feature Extractor for Action PredictionCode0
Adaptive Path-Integral Autoencoder: Representation Learning and Planning for Dynamical SystemsCode0
Learning in Variational Autoencoders with Kullback-Leibler and Renyi Integral Bounds—0
Quasi-Monte Carlo Variational Inference—0
Efficient Gradient-Free Variational Inference using Policy SearchCode0
Variational Inference and Model Selection with Generalized Evidence Bounds—0
Variational Inference and Deep Generative Models—0
Structured Variationally Auto-encoded Optimization—0
CRVI: Convex Relaxation for Variational Inference—0
Augment and Reduce: Stochastic Inference for Large Categorical DistributionsCode0
Stock Movement Prediction from Tweets and Historical PricesCode0
Markov Modulated Gaussian Cox Processes for Semi-Stationary Intensity Modeling of Events Data—0
Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees—0
Uncertainty Estimations by Softplus normalization in Bayesian Convolutional Neural Networks with Variational InferenceCode0
Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte CarloCode0
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in AdamCode0
Deep State Space Models for Unconditional Word Generation—0
A Structured Variational Autoencoder for Contextual Morphological InflectionCode0
Building Bayesian Neural Networks with Blocks: On Structure, Interpretability and Uncertainty—0
A Stein variational Newton methodCode0
Using Social Network Information in Bayesian Truth Discovery—0
Scalable Multi-Class Bayesian Support Vector Machines for Structured and Unstructured Data—0
A Spectral Approach to Gradient Estimation for Implicit DistributionsCode0
Finding Convincing Arguments Using Scalable Bayesian Preference LearningCode0
Boosting Black Box Variational InferenceCode0
Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference—0
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