149
Voted
JMLR
2012
13 years 5 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 ...
142
Voted
SIGCOMM
2012
ACM
13 years 5 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...
162
Voted
ISMM
2011
Springer
14 years 5 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...
152
Voted
EVOW
2011
Springer
2011
Springer
Optimization of the Nested Monte-Carlo Algorithm on the Traveling Salesman Problem with Time Windows
14 years 6 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...
143
Voted
PPSN
2010
Springer
15 years 17 days 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:...
116
Voted
CCE
2004
15 years 2 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...
140
Voted
CORR
2010
Springer
15 years 2 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-...
123
Voted
PDPTA
2000
15 years 4 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...
112
Voted
NIPS
2008
15 years 4 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...
202
Voted
NIPS
2008
15 years 4 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 ...