Zimmer, Christoph

11 publications

TMLR 2025 Future-Aware Safe Active Learning of Time Varying Systems Using Gaussian Processes Markus Lange-Hegermann, Christoph Zimmer

TMLR 2025 Global Safe Sequential Learning via Efficient Knowledge Transfer Cen-You Li, Olaf Dünnbier, Marc Toussaint, Barbara Rakitsch, Christoph Zimmer

AISTATS 2024 Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning Jörn Tebbe, Christoph Zimmer, Ansgar Steland, Markus Lange-Hegermann, Fabian Mies

UAI 2023 Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels Matthias Bitzer, Mona Meister, Christoph Zimmer

AISTATS 2023 Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems Matthias Bitzer, Mona Meister, Christoph Zimmer

AISTATS 2022 Safe Active Learning for Multi-Output Gaussian Processes Cen-You Li, Barbara Rakitsch, Christoph Zimmer

NeurIPS 2022 Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport Matthias Bitzer, Mona Meister, Christoph Zimmer

ECML-PKDD 2021 Active Learning in Gaussian Process State Space Model Hon Sum Alec Yu, Dingling Yao, Christoph Zimmer, Marc Toussaint, Duy Nguyen-Tuong

AISTATS 2020 Adaptive Discretization for Evaluation of Probabilistic Cost Functions Christoph Zimmer, Danny Driess, Mona Meister, Nguyen-Tuong Duy

ICML 2020 Influenza Forecasting Framework Based on Gaussian Processes Christoph Zimmer, Reza Yaesoubi

NeurIPS 2018 Safe Active Learning for Time-Series Modeling with Gaussian Processes Christoph Zimmer, Mona Meister, Duy Nguyen-Tuong