JMLR
2012
12 years 2 months ago
2012
Grid search and manual search are the most widely used strategies for hyper-parameter optimization. This paper shows empirically and theoretically that randomly chosen trials are ...
SIGCOMM
2012
ACM
12 years 2 months ago
2012
ACM
Many large content publishers use multiple content distribution networks to deliver their content, and many industrial systems have become available to help a broader set of conte...
ISMM
2011
Springer
13 years 2 months ago
2011
Springer
Abstract. Surface reconstruction from a set of noisy point measurements has been a well studied problem for several decades. Recently, variational and discrete optimization approac...
EVOW
2011
Springer
2011
Springer
Optimization of the Nested Monte-Carlo Algorithm on the Traveling Salesman Problem with Time Windows
13 years 3 months ago
The traveling salesman problem with time windows is known to be a really difficult benchmark for optimization algorithms. In this paper, we are interested in the minimization of th...
PPSN
2010
Springer
13 years 9 months ago
2010
Springer
We present methods to answer two basic questions that arise when benchmarking optimization algorithms. The first one is: which algorithm is the `best' one? and the second one:...
CCE
2004
13 years 11 months ago
2004
Following from part I, which presents a retrospective on optimization, we focus here on areas that are recent active research topics and are likely to strongly influence the futur...
CORR
2010
Springer
13 years 12 months ago
2010
Springer
The sequential parameter optimization (spot) package for R (R Development Core Team, 2008) is a toolbox for tuning and understanding simulation and optimization algorithms. Model-...
PDPTA
2000
14 years 1 months ago
2000
In this paper, a parallel evolutionary multi-criteria optimization algorithm: DGA and DRMOGA are applied to block layout problems. The results are compared to the results of SGA an...
NIPS
2008
14 years 1 months ago
2008
Large-margin structured estimation methods minimize a convex upper bound of loss functions. While they allow for efficient optimization algorithms, these convex formulations are n...
NIPS
2008
14 years 1 months ago
2008
Many popular optimization algorithms, like the Levenberg-Marquardt algorithm (LMA), use heuristic-based "controllers" that modulate the behavior of the optimizer during ...