gaussian process

Regret for Expected Improvement over the Best-Observed Value and Stopping Condition ACML 2017 Reliable Decision Support using Counterfactual Models NeurIPS 2017 Robust Hypothesis Test for Nonlinear Effect with Gaussian Processes NeurIPS 2017 Safe Model-based Reinforcement Learning with Stability Guarantees NeurIPS 2017 Scalable Levy Process Priors for Spectral Kernel Learning NeurIPS 2017 Scalable Log Determinants for Gaussian Process Kernel Learning NeurIPS 2017 Scalable Multi-Class Gaussian Process Classification using Expectation Propagation ICML 2017 Semantic Visualization for Short Texts with Word Embeddings IJCAI 2017 Signal-based Bayesian Seismic Monitoring AISTATS 2017 Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression ICML 2017 Spectral Mixture Kernels for Multi-Output Gaussian Processes NeurIPS 2017 SSN_MLRG1 at SemEval-2017 Task 4: Sentiment Analysis in Twitter Using Multi-Kernel Gaussian Process Classifier SemEval 2017 Stability of Controllers for Gaussian Process Dynamics JMLR 2017 Streaming Sparse Gaussian Process Approximations NeurIPS 2017 Targeting EEG/LFP Synchrony with Neural Nets NeurIPS 2017 Variational Bayesian Multiple Instance Learning With Gaussian Processes CVPR 2017 Variational Inference for Gaussian Process Models with Linear Complexity NeurIPS 2017 Variational Mixtures of Gaussian Processes for Classification IJCAI 2017 YASS: Yet Another Spike Sorter NeurIPS 2017 A Bayesian Nonparametric Approach for Estimating Individualized Treatment-Response Curves MLHC 2016 A Fixed-Point Operator for Inference in Variational Bayesian Latent Gaussian Models AISTATS 2016 A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification NeurIPS 2016 Automatic Construction of Nonparametric Relational Regression Models for Multiple Time Series ICML 2016 Batch Bayesian Optimization via Local Penalization AISTATS 2016 Batched Gaussian Process Bandit Optimization via Determinantal Point Processes NeurIPS 2016