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Gaussian Processes

570 papers

Papers per year

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Papers

e-PAL: An Active Learning Approach to the Multi-Objective Optimization Problem JMLR 2016
Efficient Computation of Gaussian Process Regression for Large Spatial Data Sets by Patching Local Gaussian Processes JMLR 2016
Bayesian Matrix Factorization with Non-Random Missing Data using Informative Gaussian Process Priors and Soft Evidences PGM 2016
GP Kernels for Cross-Spectrum Analysis NIPS 2015
Scalable Inference for Gaussian Process Models with Black-Box Likelihoods NIPS 2015
The Human Kernel NIPS 2015
MCMC for Variationally Sparse Gaussian Processes NIPS 2015
A Gaussian Process Model of Quasar Spectral Energy Distributions NIPS 2015
Learning Stationary Time Series using Gaussian Processes with Nonparametric Kernels NIPS 2015
Bayesian Active Model Selection with an Application to Automated Audiometry NIPS 2015
Gaussian Process Random Fields NIPS 2015
Scalable Variational Gaussian Process Classification AISTATS 2015
Video Anomaly Detection and Localization Using Hierarchical Feature Representation and Gaussian Process Regression CVPR 2015
Face Alignment Using Cascade Gaussian Process Regression Trees CVPR 2015
Landmarking Manifolds with Gaussian Processes ICML 2015
Large-scale log-determinant computation through stochastic Chebyshev expansions ICML 2015
Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE) ICML 2015
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP) ICML 2015
Gaussian Process Volatility Model NIPS 2014
Analysis of Brain States from Multi-Region LFP Time-Series NIPS 2014
Automated Variational Inference for Gaussian Process Models NIPS 2014
Tree-structured Gaussian Process Approximations NIPS 2014
Variational Gaussian Process State-Space Models NIPS 2014
Extended and Unscented Gaussian Processes NIPS 2014
Incremental Local Gaussian Regression NIPS 2014