| 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 | 41 | 2022 |
| 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 | 32 | 2019 |
| 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 | 28 | 2022 |
| Kernel conditional density operators I Schuster, M Mollenhauer, S Klus, K Muandet International Conference on Artificial Intelligence and Statistics, 993-1004, 2020 | 28 | 2020 |
| 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 | 20 | 2020 |
| Nonparametric approximation of conditional expectation operators M Mollenhauer, P Koltai arXiv preprint arXiv:2012.12917, 2020 | 17 | 2020 |
| Optimal reaction coordinates: Variational characterization and sparse computation A Bittracher, M Mollenhauer, P Koltai, C Schütte Multiscale Modeling & Simulation 21 (2), 449-488, 2023 | 10 | 2023 |
| 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 | 10 | 2022 |
| On the statistical approximation of conditional expectation operators M Mollenhauer PQDT-Global, 2021 | 6 | 2021 |
| 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 | 4 | 2023 |
| 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 | 2 | 2019 |
| 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 | 1 | 2024 |
| Towards Optimal Sobolev Norm Rates for the Vector-Valued Regularized Least-Squares Algorithm Z Li, D Meunier, M Mollenhauer, A Gretton Journal of Machine Learning Research 25 (181), 1-51, 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 |
Stefan KlusHeriot-Watt UniversityVerified email at hw.ac.uk
