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Gaussian Processes

666 papers

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Papers

On Infinite-Width Hypernetworks NeurIPS 2020 On Simulation and Trajectory Prediction with Gaussian Process Dynamics L4DC 2020 On the Theoretical Guarantees for Parameter Estimation of Gaussian Random Field Models: A Sparse Precision Matrix Approach JMLR 2020 Parametric Gaussian Process Regressors ICML 2020 PointGMM: A Neural GMM Network for Point Clouds CVPR 2020 Privacy-Preserving Gaussian Process Regression – A Modular Approach to the Application of Homomorphic Encryption AAAI 2020 Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables IJCAI 2020 Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation IJCAI 2020 Regret Bound for Safe Gaussian Process Bandit Optimization L4DC 2020 Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes NeurIPS 2020 Scalable Gaussian Process Regression Networks IJCAI 2020 Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression AAAI 2020 Semi-parametric Learning of Structured Temporal Point Processes JMLR 2020 Sensor Placement for Spatial Gaussian Processes with Integral Observations UAI 2020 Sparse Orthogonal Variational Inference for Gaussian Processes AISTATS 2020 Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning NeurIPS 2020 Stochastic Deep Gaussian Processes over Graphs NeurIPS 2020 Structured Variational Inference in Partially Observable Unstable Gaussian Process State Space Models L4DC 2020 Syn2Real Transfer Learning for Image Deraining Using Gaussian Processes CVPR 2020 Uncertainty Aware Graph Gaussian Process for Semi-Supervised Learning AAAI 2020 Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification ACL 2020 Variational Bayesian Monte Carlo with Noisy Likelihoods NeurIPS 2020 Variational Inference for Sparse Gaussian Process Modulated Hawkes Process AAAI 2020 When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes NeurIPS 2020 Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models AISTATS 2019