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Gaussian Processes

666 papers

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Papers

Incremental Variational Sparse Gaussian Process Regression NeurIPS 2016 Kernel Observers: Systems-Theoretic Modeling and Inference of Spatiotemporally Evolving Processes NeurIPS 2016 Multi-task Sparse Structure Learning with Gaussian Copula Models JMLR 2016 On Quantile Regression in Reproducing Kernel Hilbert Spaces with the Data Sparsity Constraint JMLR 2016 Probabilistic Linear Multistep Methods NeurIPS 2016 Safe Exploration in Finite Markov Decision Processes with Gaussian Processes NeurIPS 2016 Voice Conversion Based on Matrix Variate Gaussian Mixture Model Using Multiple Frame Features Interspeech 2016 What's Wrong With That Object? Identifying Images of Unusual Objects by Modelling the Detection Score Distribution CVPR 2016 A Gaussian Process Model of Quasar Spectral Energy Distributions NeurIPS 2015 Bayesian Active Model Selection with an Application to Automated Audiometry NeurIPS 2015 Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE) ICML 2015 Face Alignment Using Cascade Gaussian Process Regression Trees CVPR 2015 Gaussian Process Random Fields NeurIPS 2015 GP Kernels for Cross-Spectrum Analysis NeurIPS 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 Learning Stationary Time Series using Gaussian Processes with Nonparametric Kernels NeurIPS 2015 MCMC for Variationally Sparse Gaussian Processes NeurIPS 2015 Optimal Rates for Random Fourier Features NeurIPS 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 Scalable Inference for Gaussian Process Models with Black-Box Likelihoods NeurIPS 2015 Scalable Variational Gaussian Process Classification AISTATS 2015