Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport

21 October 2022

Papers citing "Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport"

7 / 7 papers shown

Title
Batch Active Learning in Gaussian Process Regression using Derivatives Hon Sum Alec Yu Christoph Zimmer D. Nguyen-Tuong GP 28 1 0 03 Aug 2024
Future Aware Safe Active Learning of Time Varying Systems using Gaussian Processes Markus Lange-Hegermann Christoph Zimmer AI4TS 47 0 0 17 May 2024
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning Jörn Tebbe Christoph Zimmer A. Steland Markus Lange-Hegermann Fabian Mies GP 23 3 0 28 Feb 2024
Global Safe Sequential Learning via Efficient Knowledge Transfer Cen-You Li Olaf Duennbier Marc Toussaint Barbara Rakitsch Christoph Zimmer 52 2 0 22 Feb 2024
Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels M. Bitzer Mona Meister Christoph Zimmer 19 9 0 16 Jun 2023
Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems M. Bitzer Mona Meister Christoph Zimmer 23 4 0 17 Mar 2023
Hybrid Parameter Search and Dynamic Model Selection for Mixed-Variable Bayesian Optimization Hengrui Luo Younghyun Cho James Demmel Xin Li Yang Liu 16 7 0 03 Jun 2022