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Variational Inference

802 papers

Papers per year

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14
33
100
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Papers

Affine Independent Variational Inference NIPS 2012
Density Propagation and Improved Bounds on the Partition Function NIPS 2012
Online Sum-Product Computation Over Trees NIPS 2012
Expectation Propagation in Gaussian Process Dynamical Systems NIPS 2012
Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression NIPS 2012
Variational Bayesian Matching ACML 2012
Sparse Additive Matrix Factorization for Robust PCA and Its Generalization ACML 2012
Factorized Asymptotic Bayesian Inference for Mixture Modeling AISTATS 2012
A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models AISTATS 2012
Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks AISTATS 2012
Fast Variational Bayesian Inference for Non-Conjugate Matrix Factorization Models AISTATS 2012
Fast Variational Mode-Seeking AISTATS 2012
On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference RSS 2012
Nonstandard Interpretations of Probabilistic Programs for Efficient Inference NIPS 2011
Neural Reconstruction with Approximate Message Passing (NeuRAMP) NIPS 2011
Message-Passing for Approximate MAP Inference with Latent Variables NIPS 2011
An Application of Tree-Structured Expectation Propagation for Channel Decoding NIPS 2011
Non-conjugate Variational Message Passing for Multinomial and Binary Regression NIPS 2011
Practical Variational Inference for Neural Networks NIPS 2011
t-divergence Based Approximate Inference NIPS 2011
Generalized Beta Mixtures of Gaussians NIPS 2011
Probabilistic amplitude and frequency demodulation NIPS 2011
Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models AISTATS 2011
Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks AISTATS 2011
Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference AISTATS 2011