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Gaussian Processes

568 directly classified papers

Papers per year

Papers

Compressed Gaussian Process for Manifold Regression JMLR 2016
Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE) ICML 2015
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
Scalable Variational Gaussian Process Classification AISTATS 2015
Learning Stationary Time Series using Gaussian Processes with Nonparametric Kernels NIPS 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
Bayesian Active Model Selection with an Application to Automated Audiometry NIPS 2015
Gaussian Process Random Fields NIPS 2015
Landmarking Manifolds with Gaussian Processes ICML 2015
Large-scale log-determinant computation through stochastic Chebyshev expansions ICML 2015
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP) ICML 2015
Learning Latent Variable Gaussian Graphical Models ICML 2014
Gaussian Processes for Bayesian Estimation in Ordinary Differential Equations ICML 2014
Extended and Unscented Gaussian Processes NIPS 2014
A Gaussian Latent Variable Model for Large Margin Classification of Labeled and Unlabeled Data AISTATS 2014
Analysis of Brain States from Multi-Region LFP Time-Series NIPS 2014
Scalable Collaborative Bayesian Preference Learning AISTATS 2014
Tilted Variational Bayes AISTATS 2014
Analytic Long-Term Forecasting with Periodic Gaussian Processes AISTATS 2014
Avoiding pathologies in very deep networks AISTATS 2014