Bayesian Learning

Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters AISTATS 2012 Bayesian Warped Gaussian Processes NeurIPS 2012 Burn-in, bias, and the rationality of anchoring NeurIPS 2012 Collaborative Gaussian Processes for Preference Learning NeurIPS 2012 Cost-Sensitive Exploration in Bayesian Reinforcement Learning NeurIPS 2012 Coupling Nonparametric Mixtures via Latent Dirichlet Processes NeurIPS 2012 Dual-Space Analysis of the Sparse Linear Model NeurIPS 2012 Effective Split-Merge Monte Carlo Methods for Nonparametric Models of Sequential Data NeurIPS 2012 Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search NeurIPS 2012 Efficient coding provides a direct link between prior and likelihood in perceptual Bayesian inference NeurIPS 2012 Entangled Monte Carlo NeurIPS 2012 EP-GIG Priors and Applications in Bayesian Sparse Learning JMLR 2012 Expectation Propagation in Gaussian Process Dynamical Systems NeurIPS 2012 Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression NeurIPS 2012 Fast Weighted Exponential Product Rules for Robust General Multi-Robot Data Fusion RSS 2012 Flexible Martingale Priors for Deep Hierarchies AISTATS 2012 From Deformations to Parts: Motion-based Segmentation of 3D Objects NeurIPS 2012 Fully Bayesian inference for neural models with negative-binomial spiking NeurIPS 2012 Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints NeurIPS 2012 How Prior Probability Influences Decision Making: A Unifying Probabilistic Model NeurIPS 2012 Learning curves for multi-task Gaussian process regression NeurIPS 2012 Modelling Reciprocating Relationships with Hawkes Processes NeurIPS 2012 Monte Carlo Methods for Maximum Margin Supervised Topic Models NeurIPS 2012 Multilabel Classification using Bayesian Compressed Sensing NeurIPS 2012 Multiplicative Forests for Continuous-Time Processes NeurIPS 2012