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Variational Inference

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TitleStatusHype
Approximate Decentralized Bayesian Inference—0
Variational Particle Approximations—0
Indian Buffet Process Deep Generative Models for Semi-Supervised Classification—0
Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models - a Gentle Tutorial—0
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable ModelsCode0
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
Practical Collapsed Stochastic Variational Inference for the HDP—0
Online Variational Approximations to non-Exponential Family Change Point Models: With Application to Radar Tracking—0
Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression—0
Relevance Topic Model for Unstructured Social Group Activity Recognition—0
A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks—0
Memoized Online Variational Inference for Dirichlet Process Mixture Models—0
Integrated Non-Factorized Variational Inference—0
Modeling Overlapping Communities with Node Popularities—0
Efficient Online Inference for Bayesian Nonparametric Relational Models—0
Variance Reduction for Stochastic Gradient Optimization—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
A Sparse and Adaptive Prior for Time-Dependent Model Parameters—0
Improved Bayesian Logistic Supervised Topic Models with Data Augmentation—0
Scalable Variational Inference for Extracting Hierarchical Phrase-based Translation Rules—0
Automorphism Groups of Graphical Models and Lifted Variational Inference—0
Constrained Bayesian Inference for Low Rank Multitask Learning—0
One-class Collaborative Filtering with Random Graphs: Annotated Version—0
Integrating Document Clustering and Topic Modeling—0
Maximizing submodular functions using probabilistic graphical models—0
Variational Inference for Structured NLP Models—0
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
Truncation-free Online Variational Inference for Bayesian Nonparametric Models—0
Bayesian Probabilistic Co-Subspace Addition—0
Affine Independent Variational Inference—0
Variational Inference for Crowdsourcing—0
Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models—0
Multilabel Classification using Bayesian Compressed Sensing—0
Fast Variational Inference in the Conjugate Exponential Family—0
Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints—0
Scalable Inference of Overlapping Communities—0
Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression—0
Truly Nonparametric Online Variational Inference for Hierarchical Dirichlet Processes—0
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