Sciweavers

Share
warning: Creating default object from empty value in /var/www/modules/taxonomy/taxonomy.module on line 1416.
JMLR
2012
9 years 4 months ago
Random Search for Hyper-Parameter Optimization
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 ...
James Bergstra, Yoshua Bengio
SIGCOMM
2012
ACM
9 years 4 months ago
Optimizing cost and performance for content multihoming
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...
Hongqiang Harry Liu, Ye Wang, Yang Richard Yang, H...
ISMM
2011
Springer
10 years 4 months ago
Surface Reconstruction Using Power Watershed
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...
Camille Couprie, Xavier Bresson, Laurent Najman, H...
EVOW
2011
Springer
10 years 5 months ago
Optimization of the Nested Monte-Carlo Algorithm on the Traveling Salesman Problem with Time Windows
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...
Arpad Rimmel, Fabien Teytaud, Tristan Cazenave
PPSN
2010
Springer
10 years 11 months ago
Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis
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:...
Olaf Mersmann, Mike Preuss, Heike Trautmann
CCE
2004
11 years 1 months ago
Part II. Future perspective on optimization
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...
Ignacio E. Grossmann, Lorenz T. Biegler
CORR
2010
Springer
182views Education» more  CORR 2010»
11 years 1 months ago
SPOT: An R Package For Automatic and Interactive Tuning of Optimization Algorithms by Sequential Parameter Optimization
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-...
Thomas Bartz-Beielstein
PDPTA
2000
11 years 3 months ago
Parallel Evolutionary Multi-Criterion Optimization for Block Layout Problems
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...
Shinya Watanabe, Tomoyuki Hiroyasu, Mitsunori Miki
NIPS
2008
11 years 3 months ago
Tighter Bounds for Structured Estimation
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...
Olivier Chapelle, Chuong B. Do, Quoc V. Le, Alexan...
NIPS
2008
11 years 3 months ago
Optimization on a Budget: A Reinforcement Learning Approach
Many popular optimization algorithms, like the Levenberg-Marquardt algorithm (LMA), use heuristic-based "controllers" that modulate the behavior of the optimizer during ...
Paul Ruvolo, Ian R. Fasel, Javier R. Movellan
books