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» Optimization of Convex Risk Functions
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MP
2002
195views more  MP 2002»
13 years 10 months ago
Nonlinear rescaling vs. smoothing technique in convex optimization
We introduce an alternative to the smoothing technique approach for constrained optimization. As it turns out for any given smoothing function there exists a modification with part...
Roman A. Polyak
ICML
2003
IEEE
14 years 11 months ago
Online Convex Programming and Generalized Infinitesimal Gradient Ascent
Convex programming involves a convex set F Rn and a convex cost function c : F R. The goal of convex programming is to find a point in F which minimizes c. In online convex prog...
Martin Zinkevich
MANSCI
2007
70views more  MANSCI 2007»
13 years 10 months ago
Optimal Risk Taking with Flexible Income
We study the portfolio selection problem of an investor who can optimally exert costly effort for more income. The possibility of generating more income, if necessary, increases ...
Jaksa Cvitanic, Levon Goukasian, Fernando Zapatero
INFOCOM
2009
IEEE
14 years 5 months ago
Distributed Non-Autonomous Power Control through Distributed Convex Optimization
— We consider the uplink power control problem where mobile users in different cells are communicating with their base stations. We formulate the power control problem as the min...
Sundhar Srinivasan Ram, Venugopal V. Veeravalli, A...
AAAI
2006
14 years 1 days ago
Compact, Convex Upper Bound Iteration for Approximate POMDP Planning
Partially observable Markov decision processes (POMDPs) are an intuitive and general way to model sequential decision making problems under uncertainty. Unfortunately, even approx...
Tao Wang, Pascal Poupart, Michael H. Bowling, Dale...