conftrace_

covariance function

25 papers

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Co-occurring keywords

gaussian process (1200) kernel methods (1097) gaussian process regression (133) gaussian processes (89) transfer learning (5449) process convolution (2) spectral representation (15) bayesian optimization (624) multi-output regression (29) reproducing kernel hilbert space (334)

Papers

Bayesian Multi-Group Gaussian Process Models for Heterogeneous Group-Structured Data JMLR 2025
Nonparametric Gaussian Process Covariances via Multidimensional Convolutions AISTATS 2023
Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations NIPS 2022
Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks AAAI 2021
The Ridgelet Prior: A Covariance Function Approach to Prior Specification for Bayesian Neural Networks JMLR 2021
Accelerated Bayesian Optimisation through Weight-Prior Tuning AISTATS 2020
On the Theoretical Guarantees for Parameter Estimation of Gaussian Random Field Models: A Sparse Precision Matrix Approach JMLR 2020
Semi-parametric Learning of Structured Temporal Point Processes JMLR 2020
Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization AISTATS 2020
Non-reversible Gaussian processes for identifying latent dynamical structure in neural data NIPS 2020
Non-linear process convolutions for multi-output Gaussian processes AISTATS 2019
Tensor Regression Meets Gaussian Processes AISTATS 2018
Linearly constrained Gaussian processes NIPS 2017
Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression ICML 2017
pyGPs -- A Python Library for Gaussian Process Regression and Classification JMLR 2015
Explicit Link Between Periodic Covariance Functions and State Space Models AISTATS 2014
A Case Study on Meta-Generalising: A Gaussian Processes Approach JMLR 2012
Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets JMLR 2011
Probabilistic Modeling of Dependencies Among Visual Short-Term Memory Representations NIPS 2011
Computationally Efficient Convolved Multiple Output Gaussian Processes JMLR 2011
Sparse Spectrum Gaussian Process Regression JMLR 2010
Multi-task Gaussian Process Prediction NIPS 2007
Gaussian Process Models for Link Analysis and Transfer Learning NIPS 2007
Relational Learning with Gaussian Processes NIPS 2006
Classes of Kernels for Machine Learning: A Statistics Perspective JMLR 2001