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ResearchFormerly WizWand

Sparse Regression on Simulated Sparse Regression Data

0.36SDPGapSDP relaxation
0.16921.45712.7454.0329Oct 20, 2015
Updated 4mo ago

Evaluation results

MethodLinks
SDP relaxationlambda=0.1, mu=0.52015.100.36———
SDP relaxationlambda=0.1, mu=0.42015.100.56———
SDP relaxationlambda=0.2, mu=0.52015.100.65———
SDP relaxationlambda=0.5, mu=0.52015.100.67———
SDP relaxationlambda=0.4, mu=0.52015.100.68———
SDP relaxationlambda=0.1, mu=0.32015.100.72———
SDP relaxationlambda=0.3, mu=0.52015.100.82———
SDP relaxationlambda=0.2, mu=0.42015.100.88———
SDP relaxationlambda=0.5, mu=0.42015.100.89———
SDP relaxationlambda=0.4, mu=0.42015.100.91———
SDP relaxationlambda=0.3, mu=0.42015.100.98———
SDP relaxationlambda=0.1, mu=0.22015.101.28———
SDP relaxationlambda=0.2, mu=0.32015.101.43———
SDP relaxationlambda=0.3, mu=0.32015.101.49———
SDP relaxationlambda=0.4, mu=0.32015.101.5———
SDP relaxationlambda=0.5, mu=0.32015.101.59———
SDP relaxationlambda=0.2, mu=0.22015.102.15———
SDP relaxationlambda=0.1, mu=0.12015.102.29———
SDP relaxationlambda=0.5, mu=0.22015.102.53———
SDP relaxationlambda=0.4, mu=0.22015.102.76———
SDP relaxationlambda=0.3, mu=0.22015.102.79———
SDP relaxationlambda=0.2, mu=0.12015.103.77———
SDP relaxationlambda=0.3, mu=0.12015.104.55———
SDP relaxationlambda=0.5, mu=0.12015.104.6———
SDP relaxationlambda=0.4, mu=0.12015.105.13———
Convex relaxation [31]lambda=0.1, mu=0.12015.10—7.97——
Convex relaxation [31]lambda=0.1, mu=0.22015.10—4.2——
Convex relaxation [31]lambda=0.1, mu=0.32015.10—2.79——
Convex relaxation [31]lambda=0.1, mu=0.42015.10—2.06——
Convex relaxation [31]lambda=0.1, mu=0.52015.10—1.55——
Convex relaxation [31]lambda=0.2, mu=0.12015.10—12.25——
Convex relaxation [31]lambda=0.2, mu=0.22015.10—7.12——
Convex relaxation [31]lambda=0.2, mu=0.32015.10—4.81——
Convex relaxation [31]lambda=0.2, mu=0.42015.10—3.29——
Convex relaxation [31]lambda=0.2, mu=0.52015.10—2.76——
Convex relaxation [31]lambda=0.3, mu=0.12015.10—14.19——
Convex relaxation [31]lambda=0.3, mu=0.22015.10—8.9——
Convex relaxation [31]lambda=0.3, mu=0.32015.10—5.42——
Convex relaxation [31]lambda=0.3, mu=0.42015.10—3.93——
Convex relaxation [31]lambda=0.3, mu=0.52015.10—3.3——
Convex relaxation [31]lambda=0.4, mu=0.12015.10—15.98——
Convex relaxation [31]lambda=0.4, mu=0.22015.10—9.26——
Convex relaxation [31]lambda=0.4, mu=0.32015.10—6.01——
Convex relaxation [31]lambda=0.4, mu=0.42015.10—4.12——
Convex relaxation [31]lambda=0.4, mu=0.52015.10—3.24——
Convex relaxation [31]lambda=0.5, mu=0.12015.10—15.49——
Convex relaxation [31]lambda=0.5, mu=0.22015.10—9.02——
Convex relaxation [31]lambda=0.5, mu=0.32015.10—6.11——
Convex relaxation [31]lambda=0.5, mu=0.42015.10—4.27——
Convex relaxation [31]lambda=0.5, mu=0.52015.10—3.28——
Gurobilambda=0.1, mu=0.12015.10——4.88780,000
Gurobilambda=0.1, mu=0.22015.10——4.09790,000
Gurobilambda=0.1, mu=0.32015.10——4750,000
Gurobilambda=0.1, mu=0.42015.10——4.09720,000
Gurobilambda=0.1, mu=0.52015.10——3.91720,000
Gurobilambda=0.2, mu=0.12015.10——4.17780,000
Gurobilambda=0.2, mu=0.22015.10——4.24730,000
Gurobilambda=0.2, mu=0.32015.10——3.33710,000
Gurobilambda=0.2, mu=0.42015.10——3.19640,000
Gurobilambda=0.2, mu=0.52015.10——3.03620,000
Gurobilambda=0.3, mu=0.12015.10——1.62530,000
Gurobilambda=0.3, mu=0.22015.10——2.07530,000
Gurobilambda=0.3, mu=0.32015.10——1.09430,000
Gurobilambda=0.3, mu=0.42015.10——1.09540,000
Gurobilambda=0.3, mu=0.52015.10——1.6560,000
Gurobilambda=0.4, mu=0.12015.10——0.74420,000
Gurobilambda=0.4, mu=0.22015.10——0.65260,000
Gurobilambda=0.4, mu=0.32015.10——0.11250,000
Gurobilambda=0.4, mu=0.42015.10——0160,000
Gurobilambda=0.4, mu=0.52015.10——0.04120,000
Gurobilambda=0.5, mu=0.12015.10——0.01160,000
Gurobilambda=0.5, mu=0.22015.10——098,000
Gurobilambda=0.5, mu=0.32015.10——093,000
Gurobilambda=0.5, mu=0.42015.10——078,000
Gurobilambda=0.5, mu=0.52015.10——067,000