JMLR
2012
11 years 7 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
11 years 7 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
12 years 7 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
12 years 8 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 2 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 4 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 4 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
13 years 5 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
13 years 5 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
13 years 5 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 ...