gaussian process

Accelerating ABC methods using Gaussian processes AISTATS 2014 Active Area Search via Bayesian Quadrature AISTATS 2014 Analysis of Brain States from Multi-Region LFP Time-Series NeurIPS 2014 Analytic Long-Term Forecasting with Periodic Gaussian Processes AISTATS 2014 Associative Embeddings for Large-scale Knowledge Transfer with Self-assessment CVPR 2014 Automated Variational Inference for Gaussian Process Models NeurIPS 2014 Bat Call Identification with Gaussian Process Multinomial Probit Regression and a Dynamic Time Warping Kernel AISTATS 2014 Bayesian Inference for Structured Spike and Slab Priors NeurIPS 2014 Bayesian Logistic Gaussian Process Models for Dynamic Networks AISTATS 2014 Bayesian Multi-Scale Optimistic Optimization AISTATS 2014 Bayesian Nonlinear Support Vector Machines and Discriminative Factor Modeling NeurIPS 2014 Cover Tree Bayesian Reinforcement Learning JMLR 2014 Decoupled Variational Gaussian Inference NeurIPS 2014 Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models NeurIPS 2014 Efficient State-Space Inference of Periodic Latent Force Models JMLR 2014 Explicit Link Between Periodic Covariance Functions and State Space Models AISTATS 2014 Extended and Unscented Gaussian Processes NeurIPS 2014 Fast Allocation of Gaussian Process Experts ICML 2014 Fast Kernel Learning for Multidimensional Pattern Extrapolation NeurIPS 2014 Gaussian Process Classification and Active Learning with Multiple Annotators ICML 2014 Gaussian Processes for Bayesian Estimation in Ordinary Differential Equations ICML 2014 Gaussian Process Optimization with Mutual Information ICML 2014 Gaussian Process Volatility Model NeurIPS 2014 Hybrid Discriminative-Generative Approach with Gaussian Processes AISTATS 2014 Incremental Local Gaussian Regression NeurIPS 2014