Meister, Mona

7 publications

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

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

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

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

AISTATS 2017 Spatial Decompositions for Large Scale SVMs Philipp Thomann, Ingrid Blaschzyk, Mona Meister, Ingo Steinwart

JMLR 2016 Optimal Learning Rates for Localized SVMs Mona Meister, Ingo Steinwart