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Variational Inference

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TitleStatusHype
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable ModelsCode0
Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models - a Gentle Tutorial—0
Neural Variational Inference and Learning in Belief Networks—0
Bayesian nonparametric comorbidity analysis of psychiatric disorders—0
Fast nonparametric clustering of structured time-series—0
Online Adaptor Grammars with Hybrid Inference—0
Black Box Variational InferenceCode0
Auto-Encoding Variational BayesCode1
Practical Collapsed Stochastic Variational Inference for the HDP—0
A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks—0
Integrated Non-Factorized Variational Inference—0
Efficient Online Inference for Bayesian Nonparametric Relational Models—0
Relevance Topic Model for Unstructured Social Group Activity Recognition—0
Variance Reduction for Stochastic Gradient Optimization—0
Modeling Overlapping Communities with Node Popularities—0
Online Variational Approximations to non-Exponential Family Change Point Models: With Application to Radar Tracking—0
Memoized Online Variational Inference for Dirichlet Process Mixture Models—0
Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression—0
DinTucker: Scaling up Gaussian process models on multidimensional arrays with billions of elements—0
Scalable Recommendation with Poisson FactorizationCode0
Exploration in Interactive Personalized Music Recommendation: A Reinforcement Learning Approach—0
Improved Bayesian Logistic Supervised Topic Models with Data Augmentation—0
A Sparse and Adaptive Prior for Time-Dependent Model Parameters—0
Scalable Variational Inference for Extracting Hierarchical Phrase-based Translation Rules—0
Automorphism Groups of Graphical Models and Lifted Variational Inference—0
Integrating Document Clustering and Topic Modeling—0
Constrained Bayesian Inference for Low Rank Multitask Learning—0
Gaussian Processes for Big DataCode2
One-class Collaborative Filtering with Random Graphs: Annotated Version—0
Maximizing submodular functions using probabilistic graphical models—0
Variational Inference for Structured NLP Models—0
Streaming Variational BayesCode1
Algorithms of the LDA model [REPORT]—0
Non-parametric Power-law Data Clustering—0
Fast Dual Variational Inference for Non-Conjugate LGMs—0
Social Role Discovery in Human Events—0
Factored expectation propagation for input-output FHMM models in systems biology—0
Stochastic Collapsed Variational Bayesian Inference for Latent Dirichlet Allocation—0
Automated Variational Inference in Probabilistic Programming—0
Bayesian Probabilistic Co-Subspace Addition—0
Truncation-free Online Variational Inference for Bayesian Nonparametric Models—0
Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models—0
Affine Independent Variational Inference—0
Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression—0
Fast Variational Inference in the Conjugate Exponential Family—0
Truly Nonparametric Online Variational Inference for Hierarchical Dirichlet Processes—0
Multilabel Classification using Bayesian Compressed Sensing—0
Variational Inference for Crowdsourcing—0
Scalable Inference of Overlapping Communities—0
Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints—0
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