Mollenhauer, Mattes

1. Optimal Rates for Regularized Conditional Mean Embedding Learning
   2022/08/02 by Zhu Li, Dimitri Meunier, Li, Zhu +5 · 6 citations
   Mathematics · Computer Science · #Statistical Methods and Inference #Domain Adaptation and Few-Shot Learning #Distributed Sensor Networks and Detection Algorithms
2. Towards Optimal Sobolev Norm Rates for the Vector-Valued Regularized Least-Squares Algorithm
   2023/12/12 by Zhu Li, Li, Zhu, Dimitri Meunier +5 · 7 citations
   Decision Sciences · Engineering · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematical Approximation and Integration #Probabilistic and Robust Engineering Design #Sparse and Compressive Sensing Techniques
3. Kernel Conditional Density Operators
   2019/05/27 by Schuster, Ingmar, Mollenhauer, Mattes, Klus, Stefan +1 · 1 citation
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
4. Nonparametric approximation of conditional expectation operators
   2020/12/23 by Mollenhauer, Mattes, Koltai, Péter · 1 citation
   #46B28 #46E22 #47A58 #62G05 #62J02 #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Numerical Analysis (math.NA) #Statistics Theory (math.ST)
5. Learning linear operators: Infinite-dimensional regression as a well-behaved non-compact inverse problem
   2022/11/16 by Mattes Mollenhauer, Mollenhauer, Mattes, Nicole Mücke +3 · 1 citation
   Engineering · Mathematics · #47A52 #47A68 #62J05 #65J22 #FOS: Computer and information sciences #FOS: Mathematics #Functional Analysis (math.FA) #Machine Learning (stat.ML) #Numerical methods in inverse problems #Probability (math.PR) #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Statistics Theory (math.ST)
6. On the concentration of subgaussian vectors and positive quadratic forms in Hilbert spaces
   2023/06/20 by Mollenhauer, Mattes, Schillings, Claudia · 1 citation
   #46N30 #60E15 #60G50 #66G15 #FOS: Mathematics #Probability (math.PR)
7. Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms
   2024/05/23 by Dimitri Meunier, Meunier, Dimitri, Zikai Shen +7 · 1 citation
   Computer Science · Engineering · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Sparse and Compressive Sensing Techniques