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Variational Inference

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TitleStatusHype
Why ADAGRAD Fails for Online Topic Modeling—0
Variational Inference for Logical Inference—0
ProbFlow: Joint Optical Flow and Uncertainty Estimation—0
Variational Deep Semantic Hashing for Text DocumentsCode0
Anomaly Detection on Graph Time Series—0
Boosting Variational Inference: an Optimization Perspective—0
Learning Model Reparametrizations: Implicit Variational Inference by Fitting MCMC distributions—0
A Latent Variable Model for Two-Dimensional Canonical Correlation Analysis and its Variational Inference—0
Deep Recurrent Generative Decoder for Abstractive Text SummarizationCode0
From Patches to Images: A Nonparametric Generative ModelCode0
Multiple Clustering Views from Multiple Uncertain Experts—0
A Generative Parser with a Discriminative Recognition Algorithm—0
Improving Output Uncertainty Estimation and Generalization in Deep Learning via Neural Network Gaussian Processes—0
Bayesian Nonlinear Support Vector Machines for Big DataCode0
Variational Inference via Transformations on Distributions—0
Bayesian Models of Data Streams with Hierarchical Power Priors—0
Structured Black Box Variational Inference for Latent Time Series Models—0
Multi-period Time Series Modeling with Sparsity via Bayesian Variational Inference—0
Location Dependent Dirichlet Processes—0
Efficient Correlated Topic Modeling with Topic Embedding—0
Scalable Multi-Class Gaussian Process Classification using Expectation Propagation—0
A Divergence Bound for Hybrids of MCMC and Variational Inference and an Application to Langevin Dynamics and SGVI—0
Adversarial Variational Bayes Methods for Tweedie Compound Poisson Mixed Models—0
Variational Approaches for Auto-Encoding Generative Adversarial NetworksCode0
Recurrent Latent Variable Networks for Session-Based Recommendation—0
Generative Models for Learning from Crowds—0
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization—0
Discovering Discrete Latent Topics with Neural Variational InferenceCode0
Variational Sequential Monte CarloCode0
Latent Intention Dialogue ModelsCode0
Kernel Implicit Variational Inference—0
Efficient Modeling of Latent Information in Supervised Learning using Gaussian ProcessesCode0
Neural Models for Documents with MetadataCode0
Proximity Variational InferenceCode0
Doubly Stochastic Variational Inference for Deep Gaussian ProcessesCode0
Reducing Reparameterization Gradient VarianceCode0
AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms—0
Bayesian Nonparametric Poisson-Process Allocation for Time-Sequence ModelingCode0
Scalable Variational Inference for Dynamical SystemsCode0
Co-clustering through Optimal Transport—0
Approximate Bayesian inference as a gauge theory—0
Learning Hard Alignments with Variational Inference—0
Stochastic Divergence Minimization for Biterm Topic Model—0
Learning Multimodal Transition Dynamics for Model-Based Reinforcement LearningCode0
Importance Sampled Stochastic Optimization for Variational Inference—0
Multi-View Image Generation from a Single-View—0
Parametric Gaussian Process Regression for Big DataCode0
Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational InferenceCode0
BIISQ: Bayesian nonparametric discovery of Isoforms and Individual Specific QuantificationCode0
A Deterministic Global Optimization Method for Variational Inference—0
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