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» Approximating Parameterized Convex Optimization Problems
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CAD
2004
Springer
13 years 8 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
SIAMSC
2008
139views more  SIAMSC 2008»
13 years 8 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»
14 years 8 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
12 years 4 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
13 years 9 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...