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Bayesian Inference

4821 directly classified papers

Papers per year

Papers

Kernel Bayes' Rule NIPS 2011
Complexity of Inference in Latent Dirichlet Allocation NIPS 2011
MAP Inference for Bayesian Inverse Reinforcement Learning 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
Generalised Coupled Tensor Factorisation NIPS 2011
Unifying Non-Maximum Likelihood Learning Objectives with Minimum KL Contraction NIPS 2011
Select and Sample - A Model of Efficient Neural Inference and Learning NIPS 2011
Generalized Beta Mixtures of Gaussians NIPS 2011
An Empirical Evaluation of Thompson Sampling NIPS 2011
Quasi-Newton Methods for Markov Chain Monte Carlo NIPS 2011
Inference in continuous-time change-point models NIPS 2011
Revisiting MAP Estimation, Message Passing and Perfect Graphs AISTATS 2011
A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks AISTATS 2011
Mixability is Bayes Risk Curvature Relative to Log Loss COLT 2011
Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees AISTATS 2011
Online Variational Inference for the Hierarchical Dirichlet Process AISTATS 2011
Efficient inference in matrix-variate Gaussian models with \iid observation noise NIPS 2011
Optimal and Robust Price Experimentation: Learning by Lottery AISTATS 2011
Fast $b$-matching via Sufficient Selection Belief Propagation AISTATS 2011
A Global Structural EM Algorithm for a Model of Cancer Progression NIPS 2011
Uniqueness of Belief Propagation on Signed Graphs NIPS 2011
Inferring spike-timing-dependent plasticity from spike train data NIPS 2011
Learning mixtures of Gaussians with maximum-a-posteriori oracle AISTATS 2011
Query-Aware MCMC NIPS 2011