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Mattes Mollenhauer
Mattes Mollenhauer
Merantix Momentum
Verified email at merantix-momentum.com - Homepage
Title
Cited by
Cited by
Year
Optimal rates for regularized conditional mean embedding learning
Z Li, D Meunier, M Mollenhauer, A Gretton
Advances in Neural Information Processing Systems 35, 4433-4445, 2022
362022
Kernel methods for detecting coherent structures in dynamical data
S Klus, BE Husic, M Mollenhauer, F Noé
Chaos: An Interdisciplinary Journal of Nonlinear Science 29 (12), 2019
302019
Kernel conditional density operators
I Schuster, M Mollenhauer, S Klus, K Muandet
International Conference on Artificial Intelligence and Statistics, 993-1004, 2020
292020
Singular value decomposition of operators on reproducing kernel Hilbert spaces
M Mollenhauer, I Schuster, S Klus, C Schütte
Advances in Dynamics, Optimization and Computation: A volume dedicated to …, 2020
202020
Learning linear operators: Infinite-dimensional regression as a well-behaved non-compact inverse problem
M Mollenhauer, N Mücke, TJ Sullivan
arXiv preprint arXiv:2211.08875, 2022
192022
Nonparametric approximation of conditional expectation operators
M Mollenhauer, P Koltai
arXiv preprint arXiv:2012.12917, 2020
152020
Kernel autocovariance operators of stationary processes: Estimation and convergence
M Mollenhauer, S Klus, C Schütte, P Koltai
Journal of Machine Learning Research 23 (327), 1-34, 2022
102022
Optimal reaction coordinates: Variational characterization and sparse computation
A Bittracher, M Mollenhauer, P Koltai, C Schütte
Multiscale Modeling & Simulation 21 (2), 449-488, 2023
82023
On the statistical approximation of conditional expectation operators
M Mollenhauer
PQDT-Global, 2021
62021
Towards optimal Sobolev norm rates for the vector-valued regularized least-squares algorithm
Z Li, D Meunier, M Mollenhauer, A Gretton
arXiv preprint arXiv:2312.07186, 2023
32023
Kernel canonical correlation analysis approximates operators for the detection of coherent structures in dynamical data
S Klus, BE Husic, M Mollenhauer
arXiv preprint arXiv:1904.07752, 2019
22019
Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms
D Meunier, Z Shen, M Mollenhauer, A Gretton, Z Li
arXiv preprint arXiv:2405.14778, 2024
2024
On the concentration of subgaussian vectors and positive quadratic forms in Hilbert spaces
M Mollenhauer, C Schillings
arXiv preprint arXiv:2306.11404, 2023
2023
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