This is a list of all my publications. My research spans mainly active learning, AutoML and Gaussian processes.

Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels, Matthias Bitzer, Mona Meister, Christoph Zimmer in Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI 2023)

Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems, Matthias Bitzer, Mona Meister, Christoph Zimmer in Proceedings of The 26th International Conference on Artificial Intelligence and Statistics (AISTATS 2023)

Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport, Matthias Bitzer, Mona Meister, Christoph Zimmer in Advances in Neural Information Processing Systems 35 (NeurIPS 2022)