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ResearchFormerly WizWand

Regression on E2006-log1p (test)

19.5CPU TimeAPG+
-299.841,855.7054,011.256,166.795Nov 4, 2022
Updated 8mo ago

Evaluation results

MethodLinks
APG+Sparsity level (s)=0.01m2022.1119.540490.141
APG-LL+Sparsity level (s)=0.01m2022.1141.2142380.142
APG+Sparsity level (s)=0.05m2022.11105.62221240.132
APG-LL+Sparsity level (s)=0.05m2022.11107.53261000.138
APGSparsity level (s)=0.01m2022.11270.666900.136
APGSparsity level (s)=0.05m2022.11811.81,75700.133
APG-LL+Sparsity level (s)=1.5m2022.111,362.71,744940.313
APG-LL+Sparsity level (s)=2m2022.111,672.12,0571010.299
APG+Sparsity level (s)=1.5m2022.111,697.52,1041180.279
APG+Sparsity level (s)=2m2022.112,098.52,4961080.28
PG-LLSparsity level (s)=1.5m2022.112,398.63,00200.231
PG-LLSparsity level (s)=2m2022.112,460.12,94600.225
PG-LLSparsity level (s)=0.05m2022.112,6967,08600.132
PGSparsity level (s)=0.01m, Max iterations reached=true2022.112,998.610,00000.167
PGSparsity level (s)=0.05m, Max iterations reached=true2022.113,644.110,00000.161
APGSparsity level (s)=1.5m2022.115,686.26,78100.209
PG-LLSparsity level (s)=0.01m, Max iterations reached=true2022.116,049.820,00000.132
APGSparsity level (s)=2m2022.116,375.87,30000.201
PGSparsity level (s)=1.5m2022.117,617.310,00000.154
PGSparsity level (s)=2m2022.118,00310,00000.154