About
Research on Multiple Kernel Learning (MKL) has matured to the point where efficient systems can be applied out of the box to various application domains. In contrast to last year’s workshop, which evaluated the achievements of MKL in the past decade, this workshop looks beyond the standard setting and investigates new directions for MKL. In particular, we focus on two topics:
There are three research areas, which are closely related, but have traditionally been treated separately: learning the kernel, learning distance metrics, and learning the
covariance function of a Gaussian process. We therefore would like to bring together researchers from these areas to find a unifying view, explore connections, and exchange ideas.
We ask for novel contributions that take new directions, propose
innovative approaches, and take unconventional views. This includes research, which goes beyond the limited classical sumof- kernels setup, finds new ways of combining kernels, or applies MKL in more complex settings.
Taking advantage of the broad variety of research topics at NIPS, the workshop aims to foster collaboration across the borders of the traditional multiple kernel learning community.
Workshop homepage: http://doc.ml.tu-berlin.de/mkl_workshop/
Videos
Invited Speakers

A Gaussian Process View on MKL
Jan 12, 2011
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11145 views

Various Formulations for Learning the Kernel and Structured Sparsity
Jan 12, 2011
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4208 views

Structured Regularization for MKL
Jan 12, 2011
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3642 views

Distance Metric Learning for Kernel Machines
Jan 12, 2011
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8680 views
Lectures

Multitask Multiple Kernel Learning (MT-MKL)
Jan 12, 2011
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4585 views

Online MKL for Structured Prediction
Jan 12, 2011
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3619 views

Co-regularized Spectral Clustering with Multiple Kernels
Jan 12, 2011
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4691 views

Multiple Gaussian Process Models
Jan 12, 2011
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4878 views

Regularization Strategies and Empirical Bayesian Learning for MKL
Jan 12, 2011
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5187 views
Poster Spotlights

Learning Kernels via Margin-and-Radius Ratios
Jan 12, 2011
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3444 views

Supervised and Localized Dimensionality Reduction from Multiple Feature Represen...
Jan 12, 2011
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4050 views

Currency Forecasting using Multiple Kernel Learning with Financially Motivated F...
Jan 12, 2011
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5812 views

Multiple Kernel Learning for Efficient Conformal Predictions
Jan 12, 2011
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3494 views

Operator Induced Multi-Task Gaussian Processes for Solving Differential Equation...
Jan 12, 2011
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3422 views
Panel discussion

Panel discussion
Jan 26, 2011
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3580 views