gaussian process

Probing the Compositionality of Intuitive Functions NeurIPS 2016 Regret Analysis of the Finite-Horizon Gittins Index Strategy for Multi-Armed Bandits COLT 2016 Safe Exploration in Finite Markov Decision Processes with Gaussian Processes NeurIPS 2016 Scalable Gaussian Process Classification via Expectation Propagation AISTATS 2016 Scalable Gaussian Processes for Characterizing Multidimensional Change Surfaces AISTATS 2016 Scalable Structure Discovery in Regression using Gaussian Processes AutoML 2016 Stability of Controllers for Gaussian Process Forward Models ICML 2016 Stochastic Variational Deep Kernel Learning NeurIPS 2016 Threshold Learning for Optimal Decision Making NeurIPS 2016 Time-Varying Gaussian Process Bandit Optimization AISTATS 2016 Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation NeurIPS 2016 Understanding Probabilistic Sparse Gaussian Process Approximations NeurIPS 2016 Unsupervised Stress Information Labeling Using Gaussian Process Latent Variable Model for Statistical Speech Synthesis Interspeech 2016 What's Wrong With That Object? Identifying Images of Unusual Objects by Modelling the Detection Score Distribution CVPR 2016 A Gaussian Process Latent Variable Model for BRDF Inference ICCV 2015 A Gaussian Process Model of Quasar Spectral Energy Distributions NeurIPS 2015 A Multitask Point Process Predictive Model ICML 2015 Bayesian Active Model Selection with an Application to Automated Audiometry NeurIPS 2015 Bayesian Model Adaptation for Crowd Counts ICCV 2015 Controversy in mechanistic modelling with Gaussian processes ICML 2015 Differentially Private Bayesian Optimization ICML 2015 Distributed Gaussian Processes ICML 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 Fast Kronecker Inference in Gaussian Processes with non-Gaussian Likelihoods ICML 2015