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Ingo Steinwart

Identifiers

  • name variant Ingo Steinwart 0.60 · backfill

Papers (26)

  1. Best-scored Random Forest Classification stat.ML · 2019 · author #3
  2. Optimal Learning with Anisotropic Gaussian SVMs stat.ML · 2018 · author #2
  3. Strictly proper kernel scores and characteristic kernels on compact spaces math.FA · 2017 · author #1
  4. Learning Rates for Kernel-Based Expectile Regression stat.ML · 2017 · author #2
  5. liquidSVM: A Fast and Versatile SVM package stat.ML · 2017 · author #1
  6. Learning with Hierarchical Gaussian Kernels stat.ML · 2016 · author #1
  7. Spatial Decompositions for Large Scale SVMs stat.ML · 2016 · author #4
  8. Improved Classification Rates under Refined Margin Conditions math.ST · 2016 · author #2
  9. Kernel Density Estimation for Dynamical Systems stat.ML · 2016 · author #2
  10. A Short Note on the Comparison of Interpolation Widths, Entropy Numbers, and Kolmogorov Widths math.FA · 2016 · author #1
  11. Learning theory estimates with observations from general stationary stochastic processes stat.ML · 2016 · author #3
  12. Representation of Quasi-Monotone Functionals by Families of Separating Hyperplanes math.OC · 2015 · author #1
  13. Towards an Axiomatic Approach to Hierarchical Clustering of Measures stat.ML · 2015 · author #2
  14. Optimal Learning Rates for Localized SVMs stat.ML · 2015 · author #2
  15. An SVM-like Approach for Expectile Regression stat.CO · 2015 · author #2
  16. Fully adaptive density-based clustering stat.ME · 2014 · author #1
  17. Convergence Types and Rates in Generic Karhunen-Lo\`eve Expansions with Applications to Sample Path Properties math.PR · 2014 · author #1
  18. Hypothesis Testing for Validation and Certification stat.ME · 2013 · author #2
  19. Forecasting with Historical Data or Process Knowledge under Misspecification: A Comparison stat.ME · 2012 · author #3
  20. Estimating conditional quantiles with the help of the pinball loss math.ST · 2011 · author #1
  21. Consistency and robustness of kernel-based regression in convex risk minimization math.ST · 2007 · author #2
  22. Fast rates for support vector machines using Gaussian kernels math.ST · 2007 · author #1
  23. Forecasting the Evolution of Dynamical Systems from Noisy Observations nlin.CD · 2007 · author #2
  24. Consistency of support vector machines for forecasting the evolution of an unknown ergodic dynamical system from observations with unknown noise stat.ME · 2007 · author #1
  25. Learning from dependent observations stat.ML · 2007 · author #1
  26. A new concentration result for regularized risk minimizers math.ST · 2006 · author #1

Mentions

  • 1606.05500 #1 · arxiv_oai · confidence 0.70 Ingo Steinwart
  • 1508.05249 #1 · backfill · confidence 0.70 Ingo Steinwart
  • 1508.03712 #2 · backfill · confidence 0.70 Ingo Steinwart
  • 1507.06615 #2 · backfill · confidence 0.70 Ingo Steinwart
  • 1507.03887 #2 · backfill · confidence 0.70 Ingo Steinwart
  • 1409.8437 #1 · backfill · confidence 0.70 Ingo Steinwart
  • 1403.1040 #1 · backfill · confidence 0.70 Ingo Steinwart
  • 1302.6427 #2 · backfill · confidence 0.70 Ingo Steinwart
  • 1205.3845 #3 · backfill · confidence 0.70 Ingo Steinwart
  • 1102.2101 #1 · backfill · confidence 0.70 Ingo Steinwart
  • 0709.0626 #2 · backfill · confidence 0.70 Ingo Steinwart
  • 0708.1838 #1 · backfill · confidence 0.70 Ingo Steinwart
  • 0707.4146 #2 · backfill · confidence 0.70 Ingo Steinwart
  • 0707.0322 #1 · backfill · confidence 0.70 Ingo Steinwart
  • 0707.0303 #1 · backfill · confidence 0.70 Ingo Steinwart

Frequent Coauthors