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Bayesian Learning

455 directly classified papers

Papers per year

Papers

Nonparametric Bayesian Inverse Reinforcement Learning for Multiple Reward Functions NIPS 2012
Stick-Breaking Beta Processes and the Poisson Process AISTATS 2012
A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views AISTATS 2012
Exchangeability Characterizes Optimality of Sequential Normalized Maximum Likelihood and Bayesian Prediction with Jeffreys Prior AISTATS 2012
Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction NIPS 2012
Small-Variance Asymptotics for Exponential Family Dirichlet Process Mixture Models NIPS 2012
From Deformations to Parts: Motion-based Segmentation of 3D Objects NIPS 2012
Coupling Nonparametric Mixtures via Latent Dirichlet Processes NIPS 2012
Bayesian Nonparametric Modeling of Suicide Attempts NIPS 2012
Multiplicative Forests for Continuous-Time Processes NIPS 2012
Truncation-free Online Variational Inference for Bayesian Nonparametric Models NIPS 2012
Bayesian estimation of discrete entropy with mixtures of stick-breaking priors NIPS 2012
The Optimality of Jeffreys Prior for Online Density Estimation and the Asymptotic Normality of Maximum Likelihood Estimators COLT 2012
PAC-Bayesian Bound for Gaussian Process Regression and Multiple Kernel Additive Model COLT 2012
Analysis of Thompson Sampling for the Multi-armed Bandit Problem COLT 2012
Random function priors for exchangeable arrays with applications to graphs and relational data NIPS 2012
Nonlinear Inverse Reinforcement Learning with Gaussian Processes NIPS 2011
Learning to Learn with Compound HD Models NIPS 2011
Robust Multi-Class Gaussian Process Classification NIPS 2011
EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning NIPS 2011
Crowdclustering NIPS 2011
Inferring Interaction Networks using the IBP applied to microRNA Target Prediction NIPS 2011
Clustering via Dirichlet Process Mixture Models for Portable Skill Discovery NIPS 2011
The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling AISTATS 2011
Bagged Structure Learning of Bayesian Network AISTATS 2011