Input Warping for Bayesian Optimization of Non-stationary Functions Feb 5, 2014 Bayesian Optimization Gaussian Processes
— Unverified Accelerating ABC methods using Gaussian processes Jan 7, 2014 Gaussian Processes
— Unverified EigenGP: Gaussian Process Models with Adaptive Eigenfunctions Jan 2, 2014 Gaussian Processes
Code Code Available Associative embeddings for large-scale knowledge transfer with self-assessment Dec 11, 2013 Gaussian Processes Object Localization
— Unverified Bayesian optimization explains human active search Dec 1, 2013 Bayesian Optimization Decision Making
— Unverified Multi-Task Bayesian Optimization Dec 1, 2013 Bayesian Optimization Gaussian Processes
— Unverified Nonparametric Bayes dynamic modeling of relational data Nov 19, 2013 Data Augmentation Gaussian Processes
— Unverified Gaussian Process Optimization with Mutual Information Nov 19, 2013 Gaussian Processes global-optimization
— Unverified Active Learning of Linear Embeddings for Gaussian Processes Oct 24, 2013 Active Learning Bayesian Optimization
— Unverified GPatt: Fast Multidimensional Pattern Extrapolation with Gaussian Processes Oct 20, 2013 Gaussian Processes
— Unverified Pseudo-Marginal Bayesian Inference for Gaussian Processes Oct 2, 2013 Bayesian Inference Gaussian Processes
— Unverified A temporal model of text periodicities using Gaussian Processes Oct 1, 2013 Gaussian Processes Text Classification
— Unverified Reasoning about Probabilities in Dynamic Systems using Goal Regression Sep 26, 2013 Gaussian Processes regression
— Unverified Gaussian Processes for Big Data Sep 26, 2013 Gaussian Processes Variational Inference
Code Code Available Modelling Annotator Bias with Multi-task Gaussian Processes: An Application to Machine Translation Quality Estimation Aug 1, 2013 Gaussian Processes Machine Translation
— Unverified Infinite Mixtures of Multivariate Gaussian Processes Jul 26, 2013 Gaussian Processes regression
— Unverified Bayesian Structured Prediction Using Gaussian Processes Jul 15, 2013 Gaussian Processes Prediction
Code Code Available Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC Jun 12, 2013 Bayesian Inference Gaussian Processes
— Unverified Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations May 24, 2013 Gaussian Processes regression
Code Code Available Evolution of Covariance Functions for Gaussian Process Regression using Genetic Programming May 16, 2013 Gaussian Processes regression
— Unverified A dependent partition-valued process for multitask clustering and time evolving network modelling Mar 13, 2013 Clustering Gaussian Processes
— Unverified Integrated Pre-Processing for Bayesian Nonlinear System Identification with Gaussian Processes Mar 12, 2013 Gaussian Processes regression
— Unverified Gaussian Processes for Nonlinear Signal Processing Mar 12, 2013 BIG-bench Machine Learning Gaussian Processes
— Unverified Gaussian Process Kernels for Pattern Discovery and Extrapolation Feb 18, 2013 Gaussian Processes
Code Code Available Collaborative Gaussian Processes for Preference Learning Dec 1, 2012 Active Learning Dimensionality Reduction
— Unverified Multiresolution Gaussian Processes Dec 1, 2012 Gaussian Processes
— Unverified Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression Dec 1, 2012 Bayesian Inference Gaussian Processes
— Unverified Bayesian Warped Gaussian Processes Dec 1, 2012 Gaussian Processes General Classification
— Unverified Random walk kernels and learning curves for Gaussian process regression on random graphs Nov 6, 2012 Gaussian Processes regression
— Unverified Deep Gaussian Processes Nov 2, 2012 Gaussian Processes Model Selection
— Unverified Locally adaptive factor processes for multivariate time series Oct 7, 2012 Bayesian Inference Gaussian Processes
— Unverified Information fusion in multi-task Gaussian processes Oct 6, 2012 Gaussian Processes
— Unverified Variable noise and dimensionality reduction for sparse Gaussian processes Jun 27, 2012 Dimensionality Reduction Gaussian Processes
— Unverified Bayesian Modeling with Gaussian Processes using the GPstuff Toolbox Jun 25, 2012 Gaussian Processes
Code Code Available Robust Filtering and Smoothing with Gaussian Processes Mar 20, 2012 Gaussian Processes
— Unverified Infinite Shift-invariant Grouped Multi-task Learning for Gaussian Processes Mar 5, 2012 Gaussian Processes Model Selection
— Unverified Additive Gaussian Processes Dec 19, 2011 Additive models Gaussian Processes
Code Code Available Active learning of neural response functions with Gaussian processes Dec 1, 2011 Active Learning Experimental Design
— Unverified Analytical Results for the Error in Filtering of Gaussian Processes Dec 1, 2011 Decoder Gaussian Processes
— Unverified Universal low-rank matrix recovery from Pauli measurements Dec 1, 2011 compressed sensing Gaussian Processes
— Unverified Optimal Reinforcement Learning for Gaussian Systems Dec 1, 2011 Gaussian Processes reinforcement-learning
— Unverified Nonlinear Inverse Reinforcement Learning with Gaussian Processes Dec 1, 2011 Gaussian Processes reinforcement-learning
Code Code Available Gaussian Process Regression Networks Oct 19, 2011 Gaussian Processes regression
Code Code Available Overlapping Mixtures of Gaussian Processes for the Data Association Problem Aug 16, 2011 Gaussian Processes Multi-Object Tracking
— Unverified Linear Latent Force Models using Gaussian Processes Jul 13, 2011 Gaussian Processes
— Unverified Kernels for Vector-Valued Functions: a Review Jun 30, 2011 Gaussian Processes valid
Code Code Available Evaluation of Rarity of Fingerprints in Forensics Dec 1, 2010 Gaussian Processes
— Unverified Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors Dec 1, 2010 Gaussian Processes
— Unverified Approximate inference in continuous time Gaussian-Jump processes Dec 1, 2010 Gaussian Processes
— Unverified Heavy-Tailed Process Priors for Selective Shrinkage Dec 1, 2010 Gaussian Processes General Classification
— Unverified 