gaussian process

Finding Galaxies in the Shadows of Quasars with Gaussian Processes ICML 2015 Gaussian Process Random Fields NeurIPS 2015 GP Kernels for Cross-Spectrum Analysis NeurIPS 2015 Improving the Gaussian Process Sparse Spectrum Approximation by Representing Uncertainty in Frequency Inputs ICML 2015 Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP) ICML 2015 Landmarking Manifolds with Gaussian Processes ICML 2015 Large-scale log-determinant computation through stochastic Chebyshev expansions ICML 2015 Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data ICML 2015 Learning Stationary Time Series using Gaussian Processes with Nonparametric Kernels NeurIPS 2015 MCMC for Variationally Sparse Gaussian Processes NeurIPS 2015 Multi-Class Multi-Annotator Active Learning With Robust Gaussian Process for Visual Recognition ICCV 2015 Multi-Conditional Latent Variable Model for Joint Facial Action Unit Detection ICCV 2015 Optimality of Poisson Processes Intensity Learning with Gaussian Processes JMLR 2015 Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions NeurIPS 2015 Probabilistic Curve Learning: Coulomb Repulsion and the Electrostatic Gaussian Process NeurIPS 2015 Probabilistic Line Searches for Stochastic Optimization NeurIPS 2015 Safe Exploration for Optimization with Gaussian Processes ICML 2015 Scalable Bayesian Optimization Using Deep Neural Networks ICML 2015 Scalable Inference for Gaussian Process Models with Black-Box Likelihoods NeurIPS 2015 Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Processes ICML 2015 Scalable Nonparametric Multiway Data Analysis AISTATS 2015 Sparse Variational Inference for Generalized GP Models ICML 2015 Statistical Model Criticism using Kernel Two Sample Tests NeurIPS 2015 The Human Kernel NeurIPS 2015 Variational Inference for Gaussian Process Modulated Poisson Processes ICML 2015