Mona Meister

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 13

Top Topics

Hyperparameters

Gaussian Process

Top Venues

J. Mach. Learn. Res.

Publications

Christoph Zimmer, Mona Meister, Duy Nguyen-Tuong
Safe Active Learning for Time-Series Modeling with Gaussian Processes. CoRR (2024)
Matthias Bitzer, Mona Meister, Christoph Zimmer
Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels. CoRR (2023)
Matthias Bitzer, Mona Meister, Christoph Zimmer
Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems. CoRR (2023)
Matthias Bitzer, Mona Meister, Christoph Zimmer
Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems. AISTATS (2023)
Matthias Bitzer, Mona Meister, Christoph Zimmer
Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels. UAI (2023)
Matthias Bitzer, Mona Meister, Christoph Zimmer
Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport. NeurIPS (2022)
Matthias Bitzer, Mona Meister, Christoph Zimmer
Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport. CoRR (2022)
Christoph Zimmer, Danny Driess, Mona Meister, Duy Nguyen-Tuong
Adaptive Discretization for Evaluation of Probabilistic Cost Functions. AISTATS (2020)
Christoph Zimmer, Mona Meister, Duy Nguyen-Tuong
Safe Active Learning for Time-Series Modeling with Gaussian Processes. GI-Jahrestagung (2019)
Christoph Zimmer, Mona Meister, Duy Nguyen-Tuong
Safe Active Learning for Time-Series Modeling with Gaussian Processes. NeurIPS (2018)
Philipp Thomann, Ingrid Blaschzyk, Mona Meister, Ingo Steinwart
Spatial Decompositions for Large Scale SVMs. AISTATS (2017)
Mona Meister, Ingo Steinwart
Optimal Learning Rates for Localized SVMs. J. Mach. Learn. Res. 17 (2016)
Philipp Thomann, Ingo Steinwart, Ingrid Blaschzyk, Mona Meister
Spatial Decompositions for Large Scale SVMs. CoRR (2016)