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).
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lecture
Removing systematic errors for exoplanet search via latent causes
as author at 32nd International Conference on Machine Learning (ICML), Lille 2015,
2339 views
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invited talk
Kernel means and shrinkage
as author at NIPS Workshops, Lake Tahoe 2013,
2592 views
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invited talk
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,
5840 views
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lecture
Kernel Methods
as author at Machine Learning Summer School (MLSS), La Palma 2012,
15170 views
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panel
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,
5924 views
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keynote
From kernels to causal inference
as author at 25th Annual Conference on Neural Information Processing Systems (NIPS), Granada 2011,
7598 views
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tutorial
Kernel Methods
as author at Machine Learning Summer School (MLSS ), Bordeaux 2011,
16010 views
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invited talk
From Injective Hilbert Space Embeddings to Deconvolution
as author at Machine Learning meets Computational Photography,
5233 views
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tutorial
Machine learning for cognitive science 3: Kernel methods and Bayesian methods
as author at Cognitive Science and Machine Learning Summer School (MLSS), Sardinia 2010,
5872 views
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tutorial
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,
9635 views
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tutorial
Kernel Methods
as author at Machine Learning Summer School (MLSS), Cambridge 2009,
17807 views
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lecture
Closing remarks
as author at Machine Learning Summer School (MLSS), Tübingen 2007,
4533 views
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lecture
A discussion about ML
as author at Machine Learning Summer School (MLSS), Tübingen 2007,
15459 views
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interview
Interview about past, present, future of MLSS
as author at Machine Learning Summer School (MLSS), Tübingen 2007,
7709 views
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lecture
Introduction to kernel methods
as author at Machine Learning Summer School (MLSS), Tübingen 2007,
50685 views
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lecture
Opening of the 9th Machine Learning Summer School
as author at Machine Learning Summer School (MLSS), Tübingen 2007,
7546 views
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invited talk
Kernel Tricks, Means and Ends
as author at 24th Annual International Conference on Machine Learning (ICML), Corvallis 2007,
15231 views
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lecture
Learning with Kernels
as author at Machine Learning Summer School (MLSS), Canberra 2006,
13542 views
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lecture
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,
5783 views
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lecture
Kernel Methods
as author at The Analysis of Patterns, Erice 2005,
6437 views
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lecture
Introduction to Kernel Methods
as author at Machine Learning Summer School (MLSS), Berder Island 2004,
23439 views
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lecture
Learning with Kernels
as author at Machine Learning Summer School (MLSS), Tübingen 2003,
32955 views
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lecture
Support Vector Machines and Kernels
as author at Machine Learning Summer School (MLSS), Canberra 2002,
11682 views
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Springer,
