Optimal Learning Rates for Localized SVMs. - Mona Meister; Ingo Steinwart (J. Mach. Learn. Res., 2016)

Spatial Decompositions for Large Scale SVMs. - Philipp Thomann; Ingrid Blaschzyk; Mona Meister; Ingo Steinwart (AISTATS, 2017)

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

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

Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport. - Matthias Bitzer 001; Mona Meister; Christoph Zimmer (NeurIPS, 2022)

Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems. - Matthias Bitzer 001; Mona Meister; Christoph Zimmer (AISTATS, 2023)

Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels. - Matthias Bitzer 001; Mona Meister; Christoph Zimmer (UAI, 2023)