variational baye

ViVoLAB Speaker Diarization System for the DIHARD 2019 Challenge Interspeech 2019 Coupled Variational Bayes via Optimization Embedding NeurIPS 2018 Covariances, Robustness, and Variational Bayes JMLR 2018 Fast Variational Bayes for Heavy-tailed PLDA Applied to i-vectors and x-vectors Interspeech 2018 Nonparametric learning from Bayesian models with randomized objective functions NeurIPS 2018 On Statistical Optimality of Variational Bayes AISTATS 2018 Finite-Dimensional BFRY Priors and Variational Bayesian Inference for Power Law Models NeurIPS 2016 Variational Bayes on Monte Carlo Steroids NeurIPS 2016 A Multitask Point Process Predictive Model ICML 2015 Bayesian dark knowledge NeurIPS 2015 Inferring Block Structure of Graphical Models in Exponential Families AISTATS 2015 Learning Deep Sigmoid Belief Networks with Data Augmentation AISTATS 2015 Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood ICML 2015 The Population Posterior and Bayesian Modeling on Streams NeurIPS 2015 Variational Consensus Monte Carlo NeurIPS 2015 A Complete Variational Tracker NeurIPS 2014 A Filtering Approach to Stochastic Variational Inference NeurIPS 2014 A Hierarchical Context Model for Event Recognition in Surveillance Video CVPR 2014 Analysis of Empirical MAP and Empirical Partially Bayes: Can They be Alternatives to Variational Bayes? AISTATS 2014 Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights NeurIPS 2014 Spectral Methods for Indian Buffet Process Inference NeurIPS 2014 Hierarchically-coupled hidden Markov models for learning kinetic rates from single-molecule data ICML 2013 Streaming Variational Bayes NeurIPS 2013 Collaborative Gaussian Processes for Preference Learning NeurIPS 2012 Generalized Beta Mixtures of Gaussians NeurIPS 2011