Variational Inference

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 Nonstandard Interpretations of Probabilistic Programs for Efficient Inference NeurIPS 2011 Practical Variational Inference for Neural Networks NeurIPS 2011 Probabilistic amplitude and frequency demodulation NeurIPS 2011 Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning NeurIPS 2011 t-divergence Based Approximate Inference NeurIPS 2011 Variational Gaussian Process Dynamical Systems NeurIPS 2011 Variational Learning for Recurrent Spiking Networks NeurIPS 2011 An Approximate Inference Approach to Temporal Optimization in Optimal Control NeurIPS 2010 Approximate Inference by Compilation to Arithmetic Circuits NeurIPS 2010 Approximate inference in continuous time Gaussian-Jump processes NeurIPS 2010 Bayesian Gaussian Process Latent Variable Model AISTATS 2010 Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations NeurIPS 2010 Cross Species Expression Analysis using a Dirichlet Process Mixture Model with Latent Matchings NeurIPS 2010 Efficient Multioutput Gaussian Processes through Variational Inducing Kernels AISTATS 2010 Fast Large-scale Mixture Modeling with Component-specific Data Partitions NeurIPS 2010 Global Analytic Solution for Variational Bayesian Matrix Factorization NeurIPS 2010 Improving posterior marginal approximations in latent Gaussian models AISTATS 2010 Large Margin Learning of Upstream Scene Understanding Models NeurIPS 2010 Nonparametric Bayesian Matrix Factorization by Power-EP AISTATS 2010 Online Learning for Latent Dirichlet Allocation NeurIPS 2010 Shadow Dirichlet for Restricted Probability Modeling NeurIPS 2010 Switching state space model for simultaneously estimating state transitions and nonstationary firing rates NeurIPS 2010 The Neural Costs of Optimal Control NeurIPS 2010