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Gaussian Processes

570 papers

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Papers

Bayesian Layers: A Module for Neural Network Uncertainty NIPS 2019
Safe Exploration for Interactive Machine Learning NIPS 2019
Multi-task Learning for Aggregated Data using Gaussian Processes NIPS 2019
Hyperparameter Learning via Distributional Transfer NIPS 2019
No-Regret Learning in Unknown Games with Correlated Payoffs NIPS 2019
Multivariate Sparse Coding of Nonstationary Covariances with Gaussian Processes NIPS 2019
Recovering Bandits NIPS 2019
Nonparametric Regressive Point Processes Based on Conditional Gaussian Processes NIPS 2019
Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs NIPS 2019
Band-Limited Gaussian Processes: The Sinc Kernel NIPS 2019
Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control NIPS 2019
Learning from demonstration with model-based Gaussian process CORL 2019
A Learnable Safety Measure CORL 2019
Efficient Gaussian Process Classification Using Pólya-Gamma Data Augmentation AAAI 2019
Robustness Guarantees for Bayesian Inference with Gaussian Processes AAAI 2019
Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems AAAI 2019
Efficient Neutrino Oscillation Parameter Inference with Gaussian Process AAAI 2019
Predicting Humorousness and Metaphor Novelty with Gaussian Process Preference Learning ACL 2019
Gaussian Process Models of Sound Change in Indo-Aryan Dialectology ACL 2019
Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models AISTATS 2019
Efficient Inference in Multi-task Cox Process Models AISTATS 2019
Calibrating Deep Convolutional Gaussian Processes AISTATS 2019
Deep learning with differential Gaussian process flows AISTATS 2019
Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era AISTATS 2019
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach CVPR 2019