gaussian process

Robustness Guarantees for Bayesian Inference with Gaussian Processes AAAI 2019 Safe Exploration for Interactive Machine Learning NeurIPS 2019 Scalable Bayesian Non-linear Matrix Completion IJCAI 2019 Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees AISTATS 2019 Scalable Training of Inference Networks for Gaussian-Process Models ICML 2019 Sequential Neural Processes NeurIPS 2019 Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs NeurIPS 2019 SpikeCaKe: Semi-Analytic Nonparametric Bayesian Inference for Spike-Spike Neuronal Connectivity AISTATS 2019 Statistical Model Aggregation via Parameter Matching NeurIPS 2019 Structured Variational Inference in Continuous Cox Process Models NeurIPS 2019 The Gaussian Process Autoregressive Regression Model (GPAR) AISTATS 2019 The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise Interactions in High Dimensions ICML 2019 Uncertainty on Asynchronous Time Event Prediction NeurIPS 2019 Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control NeurIPS 2019 Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach CVPR 2019 Using Contextual Information to Improve Blood Glucose Prediction MLHC 2019 Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distribution AISTATS 2019 Variational Implicit Processes ICML 2019 Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent NeurIPS 2019 A Bayes-Sard Cubature Method NeurIPS 2018 AdaGeo: Adaptive Geometric Learning for Optimization and Sampling AISTATS 2018 A Data-Efficient Approach to Precise and Controlled Pushing CoRL 2018 Adversarially Robust Optimization with Gaussian Processes NeurIPS 2018 Algorithmic Linearly Constrained Gaussian Processes NeurIPS 2018 A Prior-Less Method for Multi-Face Tracking in Unconstrained Videos CVPR 2018