| Publication | Date of Publication | Type |
|---|
| Intrinsic Dimension Adaptive Partitioning for Kernel Methods | 2022-07-15 | Paper |
| Adaptive learning rates for support vector machines working on data with low intrinsic dimension | 2022-02-07 | Paper |
| Optimal learning with anisotropic Gaussian SVMs | 2021-09-03 | Paper |
| Strictly proper kernel scores and characteristic kernels on compact spaces | 2021-03-26 | Paper |
| A closer look at covering number bounds for Gaussian kernels | 2021-02-26 | Paper |
| https://portal.mardi4nfdi.de/entity/Q5148996 | 2021-02-05 | Paper |
| Reproducing Kernel Hilbert Spaces Cannot Contain all Continuous Functions on a Compact Metric Space | 2020-02-08 | Paper |
| Convergence types and rates in generic Karhunen-Loève expansions with applications to sample path properties | 2019-11-07 | Paper |
| PAC-Bayesian Bounds for Deep Gaussian Processes | 2019-09-22 | Paper |
| Learning Theory Estimates with Observations from General Stationary Stochastic Processes | 2019-06-05 | Paper |
| Improved Classification Rates for Localized SVMs | 2019-05-04 | Paper |
| Learning rates for kernel-based expectile regression | 2019-03-15 | Paper |
| Translation invariant maps on function spaces over locally compact groups | 2018-12-10 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4558178 | 2018-11-21 | Paper |
| An SVM-like approach for expectile regression | 2018-08-14 | Paper |
| Improved classification rates under refined margin conditions | 2018-04-25 | Paper |
| Representation of quasi‐monotone functionals by families of separating hyperplanes | 2017-09-22 | Paper |
| A Bernstein-type inequality for some mixing processes and dynamical systems with an application to learning | 2017-07-28 | Paper |
| A short note on the comparison of interpolation widths, entropy numbers, and Kolmogorov widths | 2017-01-26 | Paper |
| https://portal.mardi4nfdi.de/entity/Q2953612 | 2017-01-05 | Paper |
| Measuring the Capacity of Sets of Functions in the Analysis of ERM | 2016-05-13 | Paper |
| Towards an Axiomatic Approach to Hierarchical Clustering of Measures | 2016-02-19 | Paper |
| Fully adaptive density-based clustering | 2015-10-30 | Paper |
| Some Remarks on the Statistical Analysis of SVMs and Related Methods | 2015-07-20 | Paper |
| Fast learning from \(\alpha\)-mixing observations | 2014-04-07 | Paper |
| https://portal.mardi4nfdi.de/entity/Q5396606 | 2014-02-03 | Paper |
| Optimal regression rates for SVMs using Gaussian kernels | 2013-05-29 | Paper |
| Two oracle inequalities for regularized boosting classifiers | 2012-08-18 | Paper |
| On consistency and robustness properties of support vector machines for heavy-tailed distributions | 2012-08-18 | Paper |
| Mercer's theorem on general domains: on the interaction between measures, kernels, and RKHSs | 2012-06-26 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3093211 | 2011-10-12 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3093248 | 2011-10-12 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3093368 | 2011-10-12 | Paper |
| Estimating conditional quantiles with the help of the pinball loss | 2011-09-02 | Paper |
| Radial kernels and their reproducing kernel Hilbert spaces | 2010-12-01 | Paper |
| Consistency of kernel-based quantile regression | 2010-04-22 | Paper |
| Oracle inequalities for support vector machines that are based on random entropy numbers | 2009-10-09 | Paper |
| Consistency of support vector machines for forecasting the evolution of an unknown ergodic dynamical system from observations with unknown noise | 2009-06-04 | Paper |
| Robust learning from bites for data mining | 2009-06-02 | Paper |
| Consistency of Support Vector Machines and Other Regularized Kernel Classifiers | 2008-12-21 | Paper |
| An Explicit Description of the Reproducing Kernel Hilbert Spaces of Gaussian RBF Kernels | 2008-12-21 | Paper |
| Learning from dependent observations | 2008-12-10 | Paper |
| Support Vector Machines | 2008-05-28 | Paper |
| Approximate duality | 2008-05-05 | Paper |
| Consistency and robustness of kernel-based regression in convex risk minimization | 2008-02-06 | Paper |
| Gaps in Support Vector Optimization | 2008-01-03 | Paper |
| Stability of unstable learning algorithms | 2007-09-20 | Paper |
| Function Classes That Approximate the Bayes Risk | 2007-09-14 | Paper |
| A new concentration result for regularized risk minimizers | 2007-09-12 | Paper |
| How to compare different loss functions and their risks | 2007-09-06 | Paper |
| Fast rates for support vector machines using Gaussian kernels | 2007-09-03 | Paper |
| Learning Theory | 2006-06-22 | Paper |
| LEARNING RATES FOR DENSITY LEVEL DETECTION | 2005-12-09 | Paper |
| 10.1162/1532443041827925 | 2004-11-05 | Paper |
| Entropy of convex hulls -- some Lorentz norm results | 2004-08-10 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4459183 | 2004-03-25 | Paper |
| Entropy numbers of convex hulls and an application to learning algorithms | 2003-08-18 | Paper |
| Support vector machines are universally consistent | 2003-05-14 | Paper |
| 10.1162/153244302760185252 | 2002-04-03 | Paper |
| Metric entropy of convex hulls in type $p$ spaces—The critical case | 2001-12-10 | Paper |
| Entropy of \(C(K)\)-valued operators | 2001-03-25 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4498395 | 2000-08-16 | Paper |
