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ALDT
2009
Springer
140views Algorithms» more  ALDT 2009»
13 years 11 months ago
Directional Decomposition of Multiattribute Utility Functions
Abstract. Several schemes have been proposed for compactly representing multiattribute utility functions, yet none seems to achieve the level of success achieved by Bayesian and Ma...
Ronen I. Brafman, Yagil Engel
AAAI
2006
13 years 6 months ago
CUI Networks: A Graphical Representation for Conditional Utility Independence
We introduce CUI networks, a compact graphical representation of utility functions over multiple attributes. CUI networks model multiattribute utility functions using the well stu...
Yagil Engel, Michael P. Wellman
CDC
2010
IEEE
136views Control Systems» more  CDC 2010»
12 years 12 months ago
A distributed Newton method for Network Utility Maximization
Most existing work uses dual decomposition and subgradient methods to solve Network Utility Maximization (NUM) problems in a distributed manner, which suffer from slow rate of con...
Ermin Wei, Asuman E. Ozdaglar, Ali Jadbabaie
ICDE
2012
IEEE
202views Database» more  ICDE 2012»
11 years 7 months ago
Differentially Private Spatial Decompositions
— Differential privacy has recently emerged as the de facto standard for private data release. This makes it possible to provide strong theoretical guarantees on the privacy and ...
Graham Cormode, Cecilia M. Procopiuc, Divesh Sriva...
CORR
2008
Springer
173views Education» more  CORR 2008»
13 years 5 months ago
Decomposition Principles and Online Learning in Cross-Layer Optimization for Delay-Sensitive Applications
In this paper, we propose a general cross-layer optimization framework in which we explicitly consider both the heterogeneous and dynamically changing characteristics of delay-sens...
Fangwen Fu, Mihaela van der Schaar