Bernhard Schölkopf
homepage:http://www.kyb.tuebingen.mpg.de/~bs
search externally:   Google Scholar,   Springer,   CiteSeer,   Microsoft Academic Search,   Scirus ,   DBlife

Description

Bernhard Schölkopf's scientific interests are in the field of machine learning and perception. In particular, he studies support vector and kernel methods for understanding high-dimensional data. He is on the editorial boards of:

  • Journal of Machine Learning Research, an online journal which he helped launch as a founding action editor in early 2000. JMLR is the flagship journal of machine learning.
  • International Journal of Computer Vision, one of the two flagship journals of computer vision (with IEEE PAMI, see below)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Information Science and Statistics, a Springer series of monographs
  • Advances in Data Analysis and Classification (founding member)
  • SIAM Imaging Sciences (founding member)
  • Foundations and Trends in Machine Learning (founding member)

With 5-year impact factors (ISI, 2008) of 10.3 and 8.0, respectively, IJCV and PAMI are the two top journals in the general area of artificial intelligence (they are ranked three and five in all of computer science). JMLR is number four (5.9).


Lectures:

lecture
flag Removing systematic errors for exoplanet search via latent causes
as author at  32nd International Conference on Machine Learning (ICML), Lille 2015,
28 views
  invited talk
flag Kernel means and shrinkage
as author at  NIPS Workshops, Lake Tahoe 2013,
33 views
invited talk
flag From Kernels to Causality
as author at  International Workshop on Advances in Regularization, Optimization, Kernel Methods and Support Vector Machines (ROKS): theory and applications, Leuven 2013,
399 views
  lecture
flag Kernel Methods
as author at  Machine Learning Summer School (MLSS), La Palma 2012,
1799 views
panel
flag Opportunities for cosmology to meet machine learning
as author at  Cosmology meets Machine Learning,
together with: Phil Marshall (moderator), Rob Fergus, Neil D. Lawrence, David W. Hogg, Alexandre Refregier, Jean-Luc Starck, Robert Lupton, Iain Murray,
276 views
  keynote
flag From kernels to causal inference
as author at  25th Annual Conference on Neural Information Processing Systems (NIPS), Granada 2011,
869 views
tutorial
flag Kernel Methods
as author at  Machine Learning Summer School (MLSS ), Bordeaux 2011,
2677 views
  invited talk
flag From Injective Hilbert Space Embeddings to Deconvolution
as author at  Machine Learning meets Computational Photography,
418 views
tutorial
flag Machine learning for cognitive science 3: Kernel methods and Bayesian methods
as author at  Cognitive Science and Machine Learning Summer School (MLSS), Sardinia 2010,
469 views
  tutorial
flag Machine learning for cognitive science 2: Bayesian methods and statistical learning theory
as author at  Cognitive Science and Machine Learning Summer School (MLSS), Sardinia 2010,
1368 views
tutorial
flag Kernel Methods
as author at  Machine Learning Summer School (MLSS), Cambridge 2009,
2970 views
  lecture
flag Closing remarks
as author at  Machine Learning Summer School (MLSS), Tübingen 2007,
143 views
lecture
flag A discussion about ML
as author at  Machine Learning Summer School (MLSS), Tübingen 2007,
763 views
  interview
flag Interview about past, present, future of MLSS
as author at  Machine Learning Summer School (MLSS), Tübingen 2007,
779 views
lecture
flag Introduction to kernel methods
as author at  Machine Learning Summer School (MLSS), Tübingen 2007,
8853 views
  lecture
flag Opening of the 9th Machine Learning Summer School
as author at  Machine Learning Summer School (MLSS), Tübingen 2007,
686 views
invited talk
flag Kernel Tricks, Means and Ends
as author at  24th Annual International Conference on Machine Learning (ICML), Corvallis 2007,
2582 views
  lecture
flag Learning with Kernels
as author at  Machine Learning Summer School (MLSS), Canberra 2006,
1564 views
lecture
flag Object Correspondence as a Machine Learning Problem
as author at  NIPS Workshop on Kernel Methods and Structured Domains / NIPS Workshop on Large Scale Kernel Machines, Whistler 2005,
149 views
  lecture
flag Kernel Methods
as author at  The Analysis of Patterns, Erice 2005,
244 views
lecture
flag Introduction to Kernel Methods
as author at  Machine Learning Summer School (MLSS), Berder Island 2004,
3585 views
  lecture
flag Learning with Kernels
as author at  Machine Learning Summer School (MLSS), Tübingen 2003,
5739 views
lecture
flag Support Vector Machines and Kernels
as author at  Machine Learning Summer School (MLSS), Canberra 2002,
1315 views