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JMLR
2010
143views more  JMLR 2010»
13 years 7 months ago
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning
We extend the well-known BFGS quasi-Newton method and its memory-limited variant LBFGS to the optimization of nonsmooth convex objectives. This is done in a rigorous fashion by ge...
Jin Yu, S. V. N. Vishwanathan, Simon Günter, ...
COR
2002
90views more  COR 2002»
13 years 8 months ago
Extremist vs. centrist decision behavior: quasi-convex utility functions for interactive multi-objective linear programming prob
This paper presents the fundamental theory and algorithms for identifying the most preferred alternative for a decision maker (DM) having a non-centrist (or extremist) preferentia...
Behnam Malakooti, Jumah E. Al-alwani
TIT
2002
90views more  TIT 2002»
13 years 8 months ago
Optimal sequences for CDMA under colored noise: A Schur-saddle function property
We consider direct sequence code division multiple access (DS-CDMA), modeling interference from users communicating with neighboring base stations by additive colored noise. We con...
Pramod Viswanath, Venkat Anantharam
NIPS
2007
13 years 10 months ago
Consistent Minimization of Clustering Objective Functions
Clustering is often formulated as a discrete optimization problem. The objective is to find, among all partitions of the data set, the best one according to some quality measure....
Ulrike von Luxburg, Sébastien Bubeck, Stefa...
APN
2008
Springer
13 years 11 months ago
Symbolic State Space of Stopwatch Petri Nets with Discrete-Time Semantics (Theory Paper)
In this paper, we address the class of bounded Petri nets with stopwatches (SwPNs), which is an extension of T-time Petri nets (TPNs) where time is associated with transitions. Con...
Morgan Magnin, Didier Lime, Olivier H. Roux