variational inference

Truncation-free Online Variational Inference for Bayesian Nonparametric Models NeurIPS 2012 Variational Bayesian Matching ACML 2012 Variational Inference for Crowdsourcing NeurIPS 2012 Variational Multinomial Logit Gaussian Process JMLR 2012 Why MCA? Nonlinear sparse coding with spike-and-slab prior for neurally plausible image encoding NeurIPS 2012 Accelerated Adaptive Markov Chain for Partition Function Computation NeurIPS 2011 Approximate inference for the loss-calibrated Bayesian AISTATS 2011 Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models AISTATS 2011 Convergent Decomposition Solvers for Tree-reweighted Free Energies AISTATS 2011 Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks AISTATS 2011 Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference AISTATS 2011 Generalized Beta Mixtures of Gaussians NeurIPS 2011 Global Solution of Fully-Observed Variational Bayesian Matrix Factorization is Column-Wise Independent NeurIPS 2011 Message-Passing for Approximate MAP Inference with Latent Variables NeurIPS 2011 Non-conjugate Variational Message Passing for Multinomial and Binary Regression NeurIPS 2011 Nonnegative dictionary learning in the exponential noise model for adaptive music signal representation NeurIPS 2011 Online Variational Inference for the Hierarchical Dirichlet Process AISTATS 2011 On Tracking The Partition Function NeurIPS 2011 Practical Variational Inference for Neural Networks NeurIPS 2011 Robust Bayesian Matrix Factorisation AISTATS 2011 Select and Sample - A Model of Efficient Neural Inference and Learning NeurIPS 2011 Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning NeurIPS 2011 Switch-Reset Models : Exact and Approximate Inference AISTATS 2011 t-divergence Based Approximate Inference NeurIPS 2011 The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling AISTATS 2011