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» Optimization of Convex Risk Functions
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CDC
2009
IEEE
101views Control Systems» more  CDC 2009»
14 years 3 months ago
Barrier function nonlinear optimization for optimal Decompression of divers
— This paper is based on a comprehensive dynamic mathematical model (Copernicus) of vascular bubble formation and growth during and after decompression from a dive. The model des...
Le Feng, Christian R. Gutvik, Tor Arne Johansen, D...
TIT
2002
90views more  TIT 2002»
13 years 10 months ago
Optimal sequences for CDMA under colored noise: A Schur-saddle function property
We consider direct sequence code division multiple access (DS-CDMA), modeling interference from users communicating with neighboring base stations by additive colored noise. We con...
Pramod Viswanath, Venkat Anantharam
TSP
2008
100views more  TSP 2008»
13 years 10 months ago
Optimal Two-Stage Search for Sparse Targets Using Convex Criteria
We consider the problem of estimating and detecting sparse signals over a large area of an image or other medium. We introduce a novel cost function that captures the tradeoff bet...
Eran Bashan, Raviv Raich, Alfred O. Hero III
DA
2010
141views more  DA 2010»
13 years 10 months ago
Optimal Static Hedging of Volumetric Risk in a Competitive Wholesale Electricity Market
In competitive wholesale electricity markets, regulated load serving entities (LSEs) and marketers with default service contracts have obligations to serve fluctuating load at pre...
Yumi Oum, Shmuel S. Oren
NIPS
2007
14 years 1 days ago
Convex Learning with Invariances
Incorporating invariances into a learning algorithm is a common problem in machine learning. We provide a convex formulation which can deal with arbitrary loss functions and arbit...
Choon Hui Teo, Amir Globerson, Sam T. Roweis, Alex...