Gaussian Processes

Learning Scalable Deep Kernels with Recurrent Structure JMLR 2017 Linearly constrained Gaussian processes NeurIPS 2017 Modelling Representation Noise in Emotion Analysis using Gaussian Processes IJCNLP 2017 Modelling the Working Week for Multi-Step Forecasting using Gaussian Process Regression IJCAI 2017 Non-Stationary Spectral Kernels NeurIPS 2017 Prediction under Uncertainty in Sparse Spectrum Gaussian Processes with Applications to Filtering and Control ICML 2017 Safe Model-based Reinforcement Learning with Stability Guarantees NeurIPS 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 Streaming Sparse Gaussian Process Approximations NeurIPS 2017 Student-t Process Regression with Student-t Likelihood IJCAI 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 Acoustic-to-Articulatory Inversion Mapping Based on Latent Trajectory Gaussian Mixture Model Interspeech 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 Bayesian Leave-One-Out Cross-Validation Approximations for Gaussian Latent Variable Models JMLR 2016 Bayesian Matrix Factorization with Non-Random Missing Data using Informative Gaussian Process Priors and Soft Evidences PGM 2016 Compressed Gaussian Process for Manifold Regression JMLR 2016 Efficient Computation of Gaussian Process Regression for Large Spatial Data Sets by Patching Local Gaussian Processes JMLR 2016 e-PAL: An Active Learning Approach to the Multi-Objective Optimization Problem JMLR 2016 Estimating Nonlinear Neural Response Functions using GP Priors and Kronecker Methods NeurIPS 2016 Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations NeurIPS 2016 Gaussian process nonparametric tensor estimator and its minimax optimality ICML 2016