Mattes Mollenhauer
5 papers · 2020–2024 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(15)
Venues
Top co-authors
Research topics
Keywords
reproducing kernel hilbert space
(4)
kernel ridge regression
(2)
learning rate
(2)
optimal rate
(2)
conditional mean embedding
(2)
spectral regularization
(1)
spectral analysis
(1)
conditional density
(1)
minimax optimal
(1)
spectral algorithm
(1)
operator learning
(1)
vector-valued output
(1)
sobolev space
(1)
sobolev norm
(1)
interpolation space
(1)
autocovariance operator
(1)
stationary process
(1)
mixing process
(1)
vector-valued ridge regression
(1)
misspecified case
(1)
Papers
Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms
NeurIPS 2024
Towards Optimal Sobolev Norm Rates for the Vector-Valued Regularized Least-Squares Algorithm
JMLR 2024
Kernel Autocovariance Operators of Stationary Processes: Estimation and Convergence
JMLR 2022
Optimal Rates for Regularized Conditional Mean Embedding Learning
NeurIPS 2022
Kernel Conditional Density Operators
AISTATS 2020