NIPS Proceedings
^{β}
Books
Peter Sollich
14 Papers
Learning curves for multi-task Gaussian process regression
(2012)
Exact learning curves for Gaussian process regression on large random graphs
(2010)
Kernels and learning curves for Gaussian process regression on random graphs
(2009)
Using the Equivalent Kernel to Understand Gaussian Process Regression
(2004)
Gaussian Process Regression with Mismatched Models
(2001)
Gaussian Fields for Approximate Inference in Layered Sigmoid Belief Networks
(1999)
Probabilistic Methods for Support Vector Machines
(1999)
Learning Curves for Gaussian Processes
(1998)
On-Line Learning with Restricted Training Sets: Exact Solution as Benchmark for General Theories
(1998)
On-line Learning from Finite Training Sets in Nonlinear Networks
(1997)
Online Learning from Finite Training Sets: An Analytical Case Study
(1996)
Learning with ensembles: How overfitting can be useful
(1995)
Learning from queries for maximum information gain in imperfectly learnable problems
(1994)
Learning in large linear perceptrons and why the thermodynamic limit is relevant to the real world
(1994)