Mona Meister

According to our database, Mona Meister authored at least 7 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels.

Matthias Bitzer, Mona Meister, Christoph Zimmer

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems.

Matthias Bitzer, Mona Meister, Christoph Zimmer

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport.

Matthias Bitzer, Mona Meister, Christoph Zimmer

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

Adaptive Discretization for Evaluation of Probabilistic Cost Functions.

Christoph Zimmer, Danny Driess, Mona Meister, Duy Nguyen-Tuong

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Safe Active Learning for Time-Series Modeling with Gaussian Processes.

Christoph Zimmer, Mona Meister, Duy Nguyen-Tuong

Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik, 2019

2017

Spatial Decompositions for Large Scale SVMs.

Philipp Thomann, Ingrid Blaschzyk, Mona Meister, Ingo Steinwart

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Optimal Learning Rates for Localized SVMs.

Mona Meister, Ingo Steinwart

J. Mach. Learn. Res., 2016