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» On the Complexity of Function Learning
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120
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JMLR
2010
143views more  JMLR 2010»
14 years 11 months ago
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning
We extend the well-known BFGS quasi-Newton method and its memory-limited variant LBFGS to the optimization of nonsmooth convex objectives. This is done in a rigorous fashion by ge...
Jin Yu, S. V. N. Vishwanathan, Simon Günter, ...
88
Voted
PERCOM
2006
ACM
16 years 1 days ago
Specification of a Functional Architecture for E-Learning Supported by Wireless Technologies
This paper proposes a distributed platform designed to support pervasive learning and interactivity on a university campus and to ease tasks related to learning and teaching. The ...
Philip Grew, Francesco Giudici, Elena Pagani
MOC
2011
14 years 7 months ago
Fast evaluation of modular functions using Newton iterations and the AGM
We present an asymptotically fast algorithm for the numerical evaluation of modular functions such as the elliptic modular function j. Our algorithm makes use of the natural connec...
Régis Dupont
118
Voted
ICML
2004
IEEE
15 years 5 months ago
Optimising area under the ROC curve using gradient descent
This paper introduces RankOpt, a linear binary classifier which optimises the area under the ROC curve (the AUC). Unlike standard binary classifiers, RankOpt adopts the AUC stat...
Alan Herschtal, Bhavani Raskutti
115
Voted
JMLR
2008
151views more  JMLR 2008»
15 years 13 days ago
Learning to Combine Motor Primitives Via Greedy Additive Regression
The computational complexities arising in motor control can be ameliorated through the use of a library of motor synergies. We present a new model, referred to as the Greedy Addit...
Manu Chhabra, Robert A. Jacobs