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Bayesian Inference

4821 directly classified papers

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Papers

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
Neural Reconstruction with Approximate Message Passing (NeuRAMP) NIPS 2011
Bayesian Partitioning of Large-Scale Distance Data NIPS 2011
Approximate inference for the loss-calibrated Bayesian AISTATS 2011
An Asymptotic Behaviour of the Marginal Likelihood for General Markov Models JMLR 2011
A Bayesian Approximation Method for Online Ranking JMLR 2011
Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation AISTATS 2011
Dirichlet Process Mixtures of Generalized Linear Models JMLR 2011
Discussion of “The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling” AISTATS 2011
Model-Based Proprioceptive State Estimation for Spring-Mass Running RSS 2011
Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets JMLR 2011
Polytope samplers for inference in ill-posed inverse problems AISTATS 2011
The Indian Buffet Process: An Introduction and Review JMLR 2011
Sparse Linear Identifiable Multivariate Modeling JMLR 2011
Bayesian Generalized Kernel Mixed Models JMLR 2011
Non-Parametric Estimation of Topic Hierarchies from Texts with Hierarchical Dirichlet Processes JMLR 2011
Logistic Stick-Breaking Process JMLR 2011
A blind sparse deconvolution method for neural spike identification NIPS 2011