Regression with input-dependent noise: a Gaussian process treatment

A unifying review of linear Gaussian models

Neural Computation

Learning curves for Gaussian process regression: approximations and bounds

Neural Computation

Heteroscedastic Gaussian process regression

ICML '05 Proceedings of the 22nd international conference on Machine learning

2007 Special Issue: Predictive uncertainty in environmental modelling

Neural Networks

2007 Special Issue: A variational EM approach to predictive uncertainty

Neural Networks

Most likely heteroscedastic Gaussian process regression

Proceedings of the 24th international conference on Machine learning

Gaussian process product models for nonparametric nonstationarity

Proceedings of the 25th international conference on Machine learning

GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models

Autonomous Robots

Non-parametric Learning to Aid Path Planning over Slopes

International Journal of Robotics Research

Adaptive Gaussian Process for Short-Term Wind Speed Forecasting

Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence

Learning non-stationary system dynamics online using Gaussian processes

Proceedings of the 32nd DAGM conference on Pattern recognition

Robust Gaussian Process Regression with a Student-t Likelihood

The Journal of Machine Learning Research

Estimating predictive variances with kernel ridge regression

MLCW'05 Proceedings of the First international conference on Machine Learning Challenges: evaluating Predictive Uncertainty Visual Object Classification, and Recognizing Textual Entailment

Can gaussian process regression be made robust against model mismatch?

Proceedings of the First international conference on Deterministic and Statistical Methods in Machine Learning

On the Application of Active Learning and Gaussian Processes in Postcryopreservation Cell Membrane Integrity Experiments

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)

Data fusion with Gaussian processes

Robotics and Autonomous Systems

Lies, damn lies and preferences: a Gaussian process model for ubiquitous thermal preference trials

BuildSys '12 Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings

Variable risk control via stochastic optimization

International Journal of Robotics Research