gaussian process

Gray-box Inference for Structured Gaussian Process Models AISTATS 2017 Hierarchically-partitioned Gaussian Process Approximation AISTATS 2017 High Dimensional Bayesian Optimization with Elastic Gaussian Process ICML 2017 Identification of Gaussian Process State Space Models NeurIPS 2017 Improving the Expected Improvement Algorithm NeurIPS 2017 Incorporating Uncertainty into Deep Learning for Spoken Language Assessment ACL 2017 Intention-Aware Motion Planning Using Learning Based Human Motion Prediction RSS 2017 Learning Dynamics Across Similar Spatiotemporally-Evolving Physical Systems CoRL 2017 Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis ICML 2017 Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes NeurIPS 2017 Learning Kernels over Strings using Gaussian Processes IJCNLP 2017 Learning Optimal Interventions AISTATS 2017 Learning Scalable Deep Kernels with Recurrent Structure JMLR 2017 Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier ICML 2017 Linearly constrained Gaussian processes NeurIPS 2017 Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization COLT 2017 Max-value Entropy Search for Efficient Bayesian Optimization ICML 2017 Modelling Representation Noise in Emotion Analysis using Gaussian Processes IJCNLP 2017 Multi-Information Source Optimization NeurIPS 2017 Non-Stationary Spectral Kernels NeurIPS 2017 On Kernelized Multi-armed Bandits ICML 2017 Prediction under Uncertainty in Sparse Spectrum Gaussian Processes with Applications to Filtering and Control ICML 2017 Preferential Bayesian Optimization ICML 2017 Probabilistic Line Searches for Stochastic Optimization JMLR 2017 Regret Bounds for Transfer Learning in Bayesian Optimisation AISTATS 2017