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89
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EVOW
2012
Springer
13 years 5 months ago
Hyperparameter Tuning in Bandit-Based Adaptive Operator Selection
We are using bandit-based adaptive operator selection while autotuning parallel computer programs. The autotuning, which uses evolutionary algorithm-based stochastic sampling, take...
Maciej Pacula, Jason Ansel, Saman P. Amarasinghe, ...
99
Voted
NIPS
1998
14 years 10 months ago
Outcomes of the Equivalence of Adaptive Ridge with Least Absolute Shrinkage
Adaptive Ridge is a special form of Ridge regression, balancing the quadratic penalization on each parameter of the model. It was shown to be equivalent to Lasso (least absolute s...
Yves Grandvalet, Stéphane Canu
ESANN
2004
14 years 11 months ago
Evolutionary tuning of multiple SVM parameters
The problem of model selection for support vector machines (SVMs) is considered. We propose an evolutionary approach to determine multiple SVM hyperparameters: The covariance matr...
Frauke Friedrichs, Christian Igel
105
Voted
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
15 years 2 months ago
Toward comparison-based adaptive operator selection
Adaptive Operator Selection (AOS) turns the impacts of the applications of variation operators into Operator Selection through a Credit Assignment mechanism. However, most Credit ...
Álvaro Fialho, Marc Schoenauer, Michè...
74
Voted
IPPS
2008
IEEE
15 years 3 months ago
Adaptive tuning in a dynamically changing resource environment
We present preliminary results of a project to create a tuning system that adaptively optimizes programs to the underlying execution platform. We will show initial results from tw...
Seyong Lee, Rudolf Eigenmann