gaussian process

Multi-objective Bayesian optimisation with preferences over objectives NeurIPS 2019 Multi-resolution Multi-task Gaussian Processes NeurIPS 2019 Multiscale Gaussian Process Level Set Estimation AISTATS 2019 Multi-Task Gaussian Processes and Dilated Convolutional Networks for Reconstruction of Reproductive Hormonal Dynamics MLHC 2019 Multi-task Learning for Aggregated Data using Gaussian Processes NeurIPS 2019 Multivariate Sparse Coding of Nonstationary Covariances with Gaussian Processes NeurIPS 2019 Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks UAI 2019 Non-linear process convolutions for multi-output Gaussian processes AISTATS 2019 Nonparametric Regressive Point Processes Based on Conditional Gaussian Processes NeurIPS 2019 No-Regret Bayesian Optimization with Unknown Hyperparameters JMLR 2019 No-Regret Learning in Unknown Games with Correlated Payoffs NeurIPS 2019 Offline Contextual Bayesian Optimization NeurIPS 2019 On Exact Computation with an Infinitely Wide Neural Net NeurIPS 2019 Online Incremental Learning of the Terrain Traversal Cost in Autonomous Exploration RSS 2019 Online Learning in Kernelized Markov Decision Processes AISTATS 2019 Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models ICML 2019 Periodic Kernel Approximation by Index Set Fourier Series Features UAI 2019 Predicting Humorousness and Metaphor Novelty with Gaussian Process Preference Learning ACL 2019 Probabilistic Deep Ordinal Regression Based on Gaussian Processes ICCV 2019 Rates of Convergence for Sparse Variational Gaussian Process Regression ICML 2019 Real-Time Reactive Trip Avoidance for Powered Transfemoral Prostheses RSS 2019 Real-Time Robotic Search using Structural Spatial Point Processes UAI 2019 Recovering Bandits NeurIPS 2019 Refining Coarse-Grained Spatial Data Using Auxiliary Spatial Data Sets with Various Granularities AAAI 2019 Reliable training and estimation of variance networks NeurIPS 2019