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Bayesian Learning

1663 directly classified papers

Papers per year

Papers

Learning curves for multi-task Gaussian process regression NIPS 2012
Entangled Monte Carlo NIPS 2012
Affine Independent Variational Inference NIPS 2012
Bayesian Warped Gaussian Processes NIPS 2012
Multiplicative Forests for Continuous-Time Processes NIPS 2012
Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction NIPS 2012
The Time-Marginalized Coalescent Prior for Hierarchical Clustering NIPS 2012
Effective Split-Merge Monte Carlo Methods for Nonparametric Models of Sequential Data NIPS 2012
From Deformations to Parts: Motion-based Segmentation of 3D Objects NIPS 2012
Bayesian Probabilistic Co-Subspace Addition NIPS 2012
Repulsive Mixtures NIPS 2012
Truly Nonparametric Online Variational Inference for Hierarchical Dirichlet Processes NIPS 2012
Scalable imputation of genetic data with a discrete fragmentation-coagulation process NIPS 2012
Nonparametric Bayesian Models for Unsupervised Scene Analysis and Reconstruction RSS 2012
Variational Bayesian Optimization for Runtime Risk-Sensitive Control RSS 2012
Fast Weighted Exponential Product Rules for Robust General Multi-Robot Data Fusion RSS 2012
Fully Bayesian inference for neural models with negative-binomial spiking NIPS 2012
A Marginalized Particle Gaussian Process Regression NIPS 2012
Slice sampling normalized kernel-weighted completely random measure mixture models NIPS 2012
Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks AISTATS 2012
Stick-Breaking Beta Processes and the Poisson Process AISTATS 2012
Collaborative Gaussian Processes for Preference Learning NIPS 2012
Flexible Martingale Priors for Deep Hierarchies AISTATS 2012
A nonparametric variable clustering model NIPS 2012
Robust Multi-Class Gaussian Process Classification NIPS 2011