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EOR
2007
105views more  EOR 2007»
13 years 8 months ago
Newton's method and its use in optimization
Newton’s method is a basic tool in numerical analysis and numerous applications, including operations research and data mining. We survey the history of the method, its main ide...
Boris T. Polyak
JMLR
2002
89views more  JMLR 2002»
13 years 7 months ago
A Robust Minimax Approach to Classification
When constructing a classifier, the probability of correct classification of future data points should be maximized. We consider a binary classification problem where the mean and...
Gert R. G. Lanckriet, Laurent El Ghaoui, Chiranjib...
MP
2002
165views more  MP 2002»
13 years 7 months ago
A feasible semismooth asymptotically Newton method for mixed complementarity problems
Semismooth Newton methods constitute a major research area for solving mixed complementarity problems (MCPs). Early research on semismooth Newton methods is mainly on infeasible me...
Defeng Sun, Robert S. Womersley, Houduo Qi
SIGPRO
2002
160views more  SIGPRO 2002»
13 years 7 months ago
New multiscale transforms, minimum total variation synthesis: applications to edge-preserving image reconstruction
This paper describes newly invented multiscale transforms known under the name of the ridgelet [6] and the curvelet transforms [9, 8]. These systems combine ideas of multiscale an...
Emmanuel J. Candès, Franck Guo
ATAL
2010
Springer
13 years 9 months ago
Distributed multiagent learning with a broadcast adaptive subgradient method
Many applications in multiagent learning are essentially convex optimization problems in which agents have only limited communication and partial information about the function be...
Renato L. G. Cavalcante, Alex Rogers, Nicholas R. ...