Mattes Mollenhauer

According to our database, Mattes Mollenhauer authored at least 8 papers between 2018 and 2024.

Collaborative distances:

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

2024

Towards Optimal Sobolev Norm Rates for the Vector-Valued Regularized Least-Squares Algorithm.

Zhu Li, Dimitri Meunier, Mattes Mollenhauer, Arthur Gretton

J. Mach. Learn. Res., 2024

Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms.

Dimitri Meunier, Zikai Shen, Mattes Mollenhauer, Arthur Gretton, Zhu Li

CoRR, 2024

2023

Optimal Reaction Coordinates: Variational Characterization and Sparse Computation.

Andreas Bittracher, Mattes Mollenhauer, Péter Koltai, Christof Schütte

Multiscale Model. Simul., June, 2023

2022

Kernel Autocovariance Operators of Stationary Processes: Estimation and Convergence.

Mattes Mollenhauer, Stefan Klus, Christof Schütte, Péter Koltai

J. Mach. Learn. Res., 2022

Optimal Rates for Regularized Conditional Mean Embedding Learning.

Zhu Li, Dimitri Meunier, Mattes Mollenhauer, Arthur Gretton

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

2020

Nonparametric approximation of conditional expectation operators.

Mattes Mollenhauer, Péter Koltai

CoRR, 2020

Kernel Conditional Density Operators.

Ingmar Schuster, Mattes Mollenhauer, Stefan Klus, Krikamol Muandet

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

2018

On Hyperparameter Search in Cluster Ensembles.

Luzie Helfmann, Johannes von Lindheim, Mattes Mollenhauer, Ralf Banisch

CoRR, 2018