Mattes Mollenhauer
5 papers · 2020–2024 · 3 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (7) 🧭 Keyword Pioneer 🌍 Conference Polyglot (3) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (17)
🏆
Keyword Champion
(2)
📈
Trend Setter
Conferences
JMLR (2)
NIPS (2)
AISTATS (1)
Top co-authors
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
NIPS 2024
Towards Optimal Sobolev Norm Rates for the Vector-Valued Regularized Least-Squares Algorithm
JMLR 2024
Optimal Rates for Regularized Conditional Mean Embedding Learning
NIPS 2022
Kernel Autocovariance Operators of Stationary Processes: Estimation and Convergence
JMLR 2022
Kernel Conditional Density Operators
AISTATS 2020