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Variational Inference

767 directly classified papers

Papers per year

Papers

Bayesian Warped Gaussian Processes NIPS 2012
Variational Inference for Crowdsourcing NIPS 2012
Scalable Inference of Overlapping Communities NIPS 2012
Expectation Propagation in Gaussian Process Dynamical Systems NIPS 2012
On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference RSS 2012
Sparse Additive Matrix Factorization for Robust PCA and Its Generalization ACML 2012
Probabilistic amplitude and frequency demodulation NIPS 2011
Practical Variational Inference for Neural Networks NIPS 2011
Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference AISTATS 2011
Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks AISTATS 2011
An Application of Tree-Structured Expectation Propagation for Channel Decoding NIPS 2011
Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models AISTATS 2011
Neural Reconstruction with Approximate Message Passing (NeuRAMP) NIPS 2011
Non-conjugate Variational Message Passing for Multinomial and Binary Regression NIPS 2011
Generalized Beta Mixtures of Gaussians NIPS 2011
t-divergence Based Approximate Inference NIPS 2011
Variational Inference over Combinatorial Spaces NIPS 2010
Approximate inference in continuous time Gaussian-Jump processes NIPS 2010
Approximate Inference by Compilation to Arithmetic Circuits NIPS 2010
Shadow Dirichlet for Restricted Probability Modeling NIPS 2010
Global Analytic Solution for Variational Bayesian Matrix Factorization NIPS 2010
Fast Large-scale Mixture Modeling with Component-specific Data Partitions NIPS 2010
Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations NIPS 2010
Switching state space model for simultaneously estimating state transitions and nonstationary firing rates NIPS 2010
Efficient Multioutput Gaussian Processes through Variational Inducing Kernels AISTATS 2010