J. Quinonero-Candela

Local distance preservation in the GP-LVM through back constraints (2006)

Lawrence, N.D., Quinonero-Candela, J.

Evaluating predictive uncertainty challenge (2006)

Quinonero-Candela, J., Rasmussen, C.E., Sinz, F., Bousquet, O., Schölkopf, B.

This Chapter presents the PASCAL(1) Evaluating Predictive Uncertainty Challenge, introduces the contributed Chapters by the participants who obtained outstanding results, and provides a discussion...

Healing the relevance vector machine through augmentation. (2005)

Rasmussen, C. E., Quinonero-Candela, J.

Large margin non-linear embedding. (2005)

Zien, Alexander, Quinonero-Candela, J.

Analysis of some methods for reduced rank Gaussian process regression. (2005)

Quinonero-Candela, J., Rasmussen, C. E.

Gaussian Process priors with uncertain inputs? Application to multiple-step ahead time series forecasting (2003)

Girard, A., Rasmussen, C.E., Quinonero-Candela, J., Murray-Smith, R.

We consider the problem of multi-step ahead prediction in time series analysis using the non-parametric Gaussian process model. k-step ahead forecasting of a discrete-time non-linear dynamic system...

Gaussian Process priors with uncertain inputs? Application to multiple-step ahead time series forecasting

Girard, A., Rasmussen, C.E., Quinonero-Candela, J., Murray-Smith, R.

We consider the problem of multi-step ahead prediction in time series analysis using the non-parametric Gaussian process model. k-step ahead forecasting of a discrete-time non-linear dynamic system...

Gaussian Process priors with uncertain inputs? Application to multiple-step ahead time series forecasting

Girard, A., Rasmussen, C.E., Quinonero-Candela, J., Murray-Smith, R.

We consider the problem of multi-step ahead prediction in time series analysis using the non-parametric Gaussian process model. k-step ahead forecasting of a discrete-time non-linear dynamic system...