Gaussian Processes
666 papers
Papers per year
2
1
1
7
13
10
7
18
11
17
22
30
19
19
33
38
44
53
53
64
73
64
49
18
'5
'10
'15
'20
'25
Papers
Multi-task Gaussian Process Prediction
NeurIPS 2007
Robust Regression with Twinned Gaussian Processes
NeurIPS 2007
Selecting Observations against Adversarial Objectives
NeurIPS 2007
The Generalized FITC Approximation
NeurIPS 2007
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes
NeurIPS 2007
A Switched Gaussian Process for Estimating Disparity and Segmentation in Binocular Stereo
NeurIPS 2006
Bayesian Policy Gradient Algorithms
NeurIPS 2006
Data Integration for Classification Problems Employing Gaussian Process Priors
NeurIPS 2006
Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions
NeurIPS 2006
Modelling transcriptional regulation using Gaussian Processes
NeurIPS 2006
Relational Learning with Gaussian Processes
NeurIPS 2006
Stochastic Relational Models for Discriminative Link Prediction
NeurIPS 2006
Assessing Approximate Inference for Binary Gaussian Process Classification
JMLR 2005
An Approximate Analytical Approach to Resampling Averages
JMLR 2003
PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification
JMLR 2002
The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces
JMLR 2002