38 search results - page 4 / 8 » Distributionally Robust Optimization Under Moment Uncertaint... |
FOCS
2004
IEEE
13 years 11 months ago
2004
IEEE
Stochastic optimization problems attempt to model uncertainty in the data by assuming that (part of) the input is specified in terms of a probability distribution. We consider the...
PODS
2010
ACM
14 years 14 days ago
2010
ACM
Differential privacy is a robust privacy standard that has been successfully applied to a range of data analysis tasks. But despite much recent work, optimal strategies for answe...
ICPP
2009
IEEE
13 years 5 months ago
2009
IEEE
Abstract--This research investigates the problem of robust dynamic resource allocation for heterogeneous distributed computing systems operating under imposed constraints. Often, s...
TOMACS
2002
13 years 7 months ago
2002
Consider the problem of estimating the small probability that the maximum of a random walk exceeds a large threshold, when the process has a negative drift and the underlying rand...
ESANN
2007
13 years 8 months ago
2007
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...