Mattes Mollenhauer

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 11

Top Topics

Conditional Expectation

Conditional Density

Top Venues

Multiscale Model. Simul.

J. Mach. Learn. Res.

Publications

Dimitri Meunier, Zikai Shen, Mattes Mollenhauer, Arthur Gretton, Zhu Li
Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms. CoRR (2024)
Zhu Li, Dimitri Meunier, Mattes Mollenhauer, Arthur Gretton
Towards Optimal Sobolev Norm Rates for the Vector-Valued Regularized Least-Squares Algorithm. CoRR (2023)
Andreas Bittracher, Mattes Mollenhauer, Péter Koltai, Christof Schütte
Optimal Reaction Coordinates: Variational Characterization and Sparse Computation. Multiscale Model. Simul. 21 (2) (2023)
Zhu Li, Dimitri Meunier, Mattes Mollenhauer, Arthur Gretton
Optimal Rates for Regularized Conditional Mean Embedding Learning. CoRR (2022)
Zhu Li, Dimitri Meunier, Mattes Mollenhauer, Arthur Gretton
Optimal Rates for Regularized Conditional Mean Embedding Learning. NeurIPS (2022)
Mattes Mollenhauer, Stefan Klus, Christof Schütte, Péter Koltai
Kernel Autocovariance Operators of Stationary Processes: Estimation and Convergence. J. Mach. Learn. Res. 23 (2022)
Ingmar Schuster, Mattes Mollenhauer, Stefan Klus, Krikamol Muandet
Kernel Conditional Density Operators. AISTATS (2020)
Mattes Mollenhauer, Péter Koltai
Nonparametric approximation of conditional expectation operators. CoRR (2020)
Mattes Mollenhauer, Stefan Klus, Christof Schütte, Péter Koltai
Kernel autocovariance operators of stationary processes: Estimation and convergence. CoRR (2020)
Ingmar Schuster, Mattes Mollenhauer, Stefan Klus, Krikamol Muandet
Kernel Conditional Density Operators. CoRR (2019)
Luzie Helfmann, Johannes von Lindheim, Mattes Mollenhauer, Ralf Banisch
On Hyperparameter Search in Cluster Ensembles. CoRR (2018)