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-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation
UAI 2019
Multi-resolution Multi-task Gaussian Processes
NeurIPS 2019
Multi-task Learning for Aggregated Data using Gaussian Processes
NeurIPS 2019
Multivariate Sparse Coding of Nonstationary Covariances with Gaussian Processes
NeurIPS 2019
Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks
UAI 2019
Nonparametric Regressive Point Processes Based on Conditional Gaussian Processes
NeurIPS 2019
No-Regret Learning in Unknown Games with Correlated Payoffs
NeurIPS 2019
Online Incremental Learning of the Terrain Traversal Cost in Autonomous Exploration
RSS 2019
Periodic Kernel Approximation by Index Set Fourier Series Features
UAI 2019
Predicting Humorousness and Metaphor Novelty with Gaussian Process Preference Learning
ACL 2019
Real-Time Information-Theoretic Exploration with Gaussian Mixture Model Maps
RSS 2019
Recovering Bandits
NeurIPS 2019
Robustness Guarantees for Bayesian Inference with Gaussian Processes
AAAI 2019
Safe Exploration for Interactive Machine Learning
NeurIPS 2019
Sequential Neural Processes
NeurIPS 2019
Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs
NeurIPS 2019
Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control
NeurIPS 2019
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach
CVPR 2019
Algorithmic Linearly Constrained Gaussian Processes
NeurIPS 2018
A Prior-Less Method for Multi-Face Tracking in Unconstrained Videos
CVPR 2018
AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning
ICML 2018
Bayesian Alignments of Warped Multi-Output Gaussian Processes
NeurIPS 2018
Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments
NeurIPS 2018
Bayesian Nonparametric Poisson-Process Allocation for Time-Sequence Modeling
AISTATS 2018
Bayesian Semi-supervised Learning with Graph Gaussian Processes
NeurIPS 2018