Ingo Steinwart
28 papers · 2001–2024 · 6 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 13 separate collaboration groups - the largest holds only 18% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Ingo Steinwart?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Philipp Thomann, Ingrid Blaschzyk, Mona Meister
5 papers
· 2015–2023
· JMLR, AISTATS
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Adaptive Clustering Using Kernel Density Estimators
JMLR 2023
Improved Classification Rates for Localized SVMs
JMLR 2022
Spatial Decompositions for Large Scale SVMs
AISTATS 2017
Optimal Learning Rates for Localized SVMs
JMLR 2016
Towards an Axiomatic Approach to Hierarchical Clustering of Measures
JMLR 2015
8 papers whose co-authors appear nowhere else under this name
Sobolev Norm Learning Rates for Regularized Least-Squares Algorithms
JMLR 2020
Kernel Density Estimation for Dynamical Systems
JMLR 2018
Elicitation and Identification of Properties
COLT 2014
Consistency and Rates for Clustering with DBSCAN
AISTATS 2012
Adaptive Density Level Set Clustering
COLT 2011
Optimal learning rates for least squares SVMs using Gaussian kernels
NeurIPS 2011
Sparseness of Support Vector Machines
JMLR 2003
On the Influence of the Kernel on the Consistency of Support Vector Machines
JMLR 2001