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» An overview of bilevel optimization
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IJCNN
2006
IEEE
13 years 11 months ago
Model Selection via Bilevel Optimization
— A key step in many statistical learning methods used in machine learning involves solving a convex optimization problem containing one or more hyper-parameters that must be sel...
Kristin P. Bennett, Jing Hu, Xiaoyun Ji, Gautam Ku...
JGO
2011
89views more  JGO 2011»
12 years 8 months ago
Model building using bi-level optimization
Abstract In many problems from different disciplines such as engineering, physics, medicine, and biology, a series of experimental data is used in order to generate a model that ca...
Georges K. Saharidis, Ioannis P. Androulakis, Mari...
HAPTICS
2010
IEEE
13 years 10 months ago
Optimization Criteria for Human Trajectory Formation in Dynamic Virtual Environments
Which criteria determine the formation of rest-to-rest arm movements when interacting with virtual mass-damper dynamics? A novel bilevel optimization approach is used to find the ...
Sebastian Albrecht, Carolina Passenberg, Marion So...
EOR
2002
80views more  EOR 2002»
13 years 5 months ago
On generalized semi-infinite optimization and bilevel optimization
The paper studies the connections and differences between bilevel problems (BL) and generalized semi-infinite problems (GSIP). Under natural assumptions (GSIP) can be seen as a sp...
Oliver Stein, Georg Still
TIT
2002
125views more  TIT 2002»
13 years 5 months ago
Optimal bi-level quantization of i.i.d. sensor observations for binary hypothesis testing
We consider the problem of binary hypothesis testing using binary decisions from independent and identically distributed (i.i.d). sensors. Identical likelihood-ratio quantizers wit...
Qian Zhang, Pramod K. Varshney, Richard D. Wesel