Connectionists: ROKS 2013 videos

[Johan Suykens]

The ROKS 2013 videos are now available on

http://videolectures.net/roks2013_leuven/
http://www.esat.kuleuven.be/stadius/ROKS2013/

Invited talks:

Francis Bach, INRIA
"Large-scale Convex Optimization for Machine Learning"

Stephen Boyd, Stanford University
"Domain-Specific Languages for Large-Scale Convex Optimization"

Martin Jaggi, Ecole Polytechnique Paris
"Connections between the Lasso and Support Vector Machines"

James Kwok, Hong Kong University of Science and Technology
"Learning from Weakly Labeled Data"

Yurii Nesterov, Catholic University of Louvain
"Subgradient methods for huge-scale optimization problems"

Massimiliano Pontil, University College London
"Multi-task Learning"

Justin Romberg, Georgia Tech
"Dynamic L1 Reconstruction"

Bernhard Schoelkopf, Max Planck Institute Tuebingen
"From Kernels to Causality"

John Shawe-Taylor, University College London
"Deep-er Kernels"

Joel Tropp, California Institute of Technology
"Living on the edge: A geometric theory of phase transitions in convex
optimization"

Ding-Xuan Zhou, City University of Hong Kong
"Minimum error entropy principle for learning"