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ICANN
2009
Springer
13 years 5 months ago
MINLIP: Efficient Learning of Transformation Models
Abstract. This paper studies a risk minimization approach to estimate a transformation model from noisy observations. It is argued that transformation models are a natural candidat...
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. ...
EOR
2008
70views more  EOR 2008»
13 years 7 months ago
Robust portfolio selection based on a multi-stage scenario tree
The aim of this paper is to apply the concept of robust optimization introduced by Bel-Tal and Nemirovski to the portfolio selection problems based on multi-stage scenario trees. ...
Ruijun Shen, Shuzhong Zhang
SIAMJO
2008
97views more  SIAMJO 2008»
13 years 7 months ago
New Formulations for Optimization under Stochastic Dominance Constraints
Stochastic dominance constraints allow a decision-maker to manage risk in an optimization setting by requiring their decision to yield a random outcome which stochastically domina...
James Luedtke
JIFS
2007
115views more  JIFS 2007»
13 years 7 months ago
Winner determination for combinatorial auctions for tasks with time and precedence constraints
We present a solution to the winner determination problem which takes into account not only costs but also risk aversion of the agent that accepts the bids, and which works for au...
Güleser K. Demir, Maria L. Gini
ICML
2008
IEEE
14 years 8 months ago
Efficiently solving convex relaxations for MAP estimation
The problem of obtaining the maximum a posteriori (map) estimate of a discrete random field is of fundamental importance in many areas of Computer Science. In this work, we build ...
M. Pawan Kumar, Philip H. S. Torr