Ingo Steinwart
19 catalog papers. Identity-linked publications and additional name matches are distinguished below.
ORCID: 0000-0002-4436-7109
University of Stuttgart
Publications
- A Framework and Benchmark for Deep Batch Active Learning for Regression — Journal of Machine Learning Research 2023 (name-matched, not ORCID-linked)
- Adaptive Clustering Using Kernel Density Estimators — Journal of Machine Learning Research 2023 (name-matched, not ORCID-linked)
- Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent — Journal of Machine Learning Research 2022 (name-matched, not ORCID-linked)
- Improved Classification Rates for Localized SVMs — Journal of Machine Learning Research 2022 (name-matched, not ORCID-linked)
- Adaptive learning rates for support vector machines working on data with low intrinsic dimension — The Annals of Statistics 2021
- Sobolev Norm Learning Rates for Regularized Least-Squares Algorithms — Journal of Machine Learning Research 2020 (name-matched, not ORCID-linked)
- Kernel Density Estimation for Dynamical Systems — Journal of Machine Learning Research 2018 (name-matched, not ORCID-linked)
- A Bernstein-type inequality for some mixing processes and dynamical systems with an application to learning — The Annals of Statistics 2017
- Optimal Learning Rates for Localized SVMs — Journal of Machine Learning Research 2016 (name-matched, not ORCID-linked)
- Fully adaptive density-based clustering — The Annals of Statistics 2015
- Towards an Axiomatic Approach to Hierarchical Clustering of Measures — Journal of Machine Learning Research 2015 (name-matched, not ORCID-linked)
- Training SVMs Without Offset — Journal of Machine Learning Research 2011 (name-matched, not ORCID-linked)
- Consistency of support vector machines for forecasting the evolution of an unknown ergodic dynamical system from observations with unknown noise — The Annals of Statistics 2009
- Fast rates for support vector machines using Gaussian kernels — The Annals of Statistics 2007
- QP Algorithms with Guaranteed Accuracy and Run Time for Support Vector Machines — Journal of Machine Learning Research 2006 (name-matched, not ORCID-linked)
- A Classification Framework for Anomaly Detection — Journal of Machine Learning Research 2005 (name-matched, not ORCID-linked)
- On Robustness Properties of Convex Risk Minimization Methods for Pattern Recognition — Journal of Machine Learning Research 2004 (name-matched, not ORCID-linked)
- Sparseness of Support Vector Machines — Journal of Machine Learning Research 2003 (name-matched, not ORCID-linked)
- On the Influence of the Kernel on the Consistency of Support Vector Machines — Journal of Machine Learning Research 2001 (name-matched, not ORCID-linked)