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» Approximating Parameterized Convex Optimization Problems
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CAD
2004
Springer
14 years 9 months ago
Control point adjustment for B-spline curve approximation
Pottmann et al. propose an iterative optimization scheme for approximating a target curve with a B-spline curve based on square distance minimization, or SDM. The main advantage o...
Huaiping Yang, Wenping Wang, Jia-Guang Sun
78
Voted
SIAMSC
2008
139views more  SIAMSC 2008»
14 years 9 months ago
Probing the Pareto Frontier for Basis Pursuit Solutions
The basis pursuit problem seeks a minimum one-norm solution of an underdetermined least-squares problem. Basis pursuit denoise (BPDN) fits the least-squares problem only approximat...
Ewout van den Berg, Michael P. Friedlander
STOC
2007
ACM
146views Algorithms» more  STOC 2007»
15 years 10 months ago
Playing games with approximation algorithms
In an online linear optimization problem, on each period t, an online algorithm chooses st S from a fixed (possibly infinite) set S of feasible decisions. Nature (who may be adve...
Sham M. Kakade, Adam Tauman Kalai, Katrina Ligett
TSP
2012
13 years 5 months ago
Robust Multicast Beamforming for Spectrum Sharing-Based Cognitive Radios
Abstract—We consider a robust downlink beamforming optimization problem for secondary multicast transmission in a multiple-input multiple-output (MIMO) spectrum sharing cognitive...
Yongwei Huang, Qiang Li, Wing-Kin Ma, Shuzhong Zha...
ICML
2010
IEEE
14 years 10 months ago
Learning Efficiently with Approximate Inference via Dual Losses
Many structured prediction tasks involve complex models where inference is computationally intractable, but where it can be well approximated using a linear programming relaxation...
Ofer Meshi, David Sontag, Tommi Jaakkola, Amir Glo...