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ResearchFormerly WizWand

Kronecker regression on Random n^2 x d^2 design matrix

0.0002LossBaseline
-0.3407961.9609274.262656.564373Sep 11, 2022
Updated 8mo ago

Evaluation results

MethodLinks
Baselined=64, n=1282022.090.0002
KronMatMuld=64, n=1282022.090.0002
DJSSW19d=64, n=1282022.090.0004
FastKroneckerRegressiond=64, n=1282022.090.0004
Baselined=32, n=1282022.090.0007
KronMatMuld=32, n=1282022.090.0007
DJSSW19d=32, n=1282022.090.0009
FastKroneckerRegressiond=32, n=1282022.090.0009
Baselined=64, n=2562022.090.0015
KronMatMuld=64, n=2562022.090.0015
Baselined=16, n=1282022.090.0019
KronMatMuld=16, n=1282022.090.0019
DJSSW19d=64, n=2562022.090.0019
FastKroneckerRegressiond=64, n=2562022.090.0019
DJSSW19d=16, n=1282022.090.0021
FastKroneckerRegressiond=16, n=1282022.090.0021
Baselined=8, n=1282022.090.0033
KronMatMuld=8, n=1282022.090.0033
DJSSW19d=8, n=1282022.090.0035
FastKroneckerRegressiond=8, n=1282022.090.0035
Baselined=32, n=2562022.090.0037
KronMatMuld=32, n=2562022.090.0037
DJSSW19d=32, n=2562022.090.004
FastKroneckerRegressiond=32, n=2562022.090.004
Baselined=16, n=2562022.090.0077
KronMatMuld=16, n=2562022.090.0077
Baselined=64, n=5122022.090.0078
KronMatMuld=64, n=5122022.090.0078
DJSSW19d=16, n=2562022.090.0081
FastKroneckerRegressiond=16, n=2562022.090.0081
DJSSW19d=64, n=5122022.090.0087
FastKroneckerRegressiond=64, n=5122022.090.0087
Baselined=8, n=2562022.090.0151
KronMatMuld=8, n=2562022.090.0151
DJSSW19d=8, n=2562022.090.0161
FastKroneckerRegressiond=8, n=2562022.090.0161
Baselined=32, n=5122022.090.0163
KronMatMuld=32, n=5122022.090.0163
DJSSW19d=32, n=5122022.090.0172
FastKroneckerRegressiond=32, n=5122022.090.0172
Baselined=64, n=10242022.090.0307
KronMatMuld=64, n=10242022.090.0307
Baselined=16, n=5122022.090.0313
KronMatMuld=16, n=5122022.090.0313
FastKroneckerRegressiond=64, n=10242022.090.0323
DJSSW19d=16, n=5122022.090.0324
FastKroneckerRegressiond=16, n=5122022.090.0324
DJSSW19d=64, n=10242022.090.035
Baselined=8, n=5122022.090.0606
KronMatMuld=8, n=5122022.090.0606
DJSSW19d=8, n=5122022.090.0635
FastKroneckerRegressiond=8, n=5122022.090.0635
Baselined=32, n=10242022.090.0671
KronMatMuld=32, n=10242022.090.0671
FastKroneckerRegressiond=32, n=10242022.090.0692
DJSSW19d=32, n=10242022.090.0693
KronMatMuld=64, n=20482022.090.1233
FastKroneckerRegressiond=64, n=20482022.090.1264
Baselined=16, n=10242022.090.1306
KronMatMuld=16, n=10242022.090.1306
DJSSW19d=16, n=10242022.090.1328
FastKroneckerRegressiond=16, n=10242022.090.1328
Baselined=8, n=10242022.090.2531
KronMatMuld=8, n=10242022.090.2531
DJSSW19d=8, n=10242022.090.2636
FastKroneckerRegressiond=8, n=10242022.090.2636
KronMatMuld=32, n=20482022.090.266
Baselined=32, n=20482022.090.2661
FastKroneckerRegressiond=32, n=20482022.090.2701
DJSSW19d=32, n=20482022.090.388
KronMatMuld=64, n=40962022.090.5068
FastKroneckerRegressiond=64, n=40962022.090.5198
Baselined=16, n=20482022.090.5244
KronMatMuld=16, n=20482022.090.5244
FastKroneckerRegressiond=16, n=20482022.090.5375
DJSSW19d=16, n=20482022.090.5457
Baselined=8, n=20482022.091.032
KronMatMuld=8, n=20482022.091.032
KronMatMuld=32, n=40962022.091.0434
FastKroneckerRegressiond=32, n=40962022.091.0589
FastKroneckerRegressiond=8, n=20482022.091.0598
DJSSW19d=8, n=20482022.091.0599
DJSSW19d=64, n=20482022.091.5768
KronMatMuld=64, n=81922022.092.0735
KronMatMuld=16, n=40962022.092.0915
Baselined=16, n=40962022.092.0917
FastKroneckerRegressiond=64, n=81922022.092.1358
FastKroneckerRegressiond=16, n=40962022.092.1381
DJSSW19d=16, n=40962022.092.2278
DJSSW19d=32, n=40962022.092.9236
KronMatMuld=32, n=81922022.094.1777
Baselined=8, n=40962022.094.2118
KronMatMuld=8, n=40962022.094.2118
FastKroneckerRegressiond=32, n=81922022.094.2537
FastKroneckerRegressiond=8, n=40962022.094.4525
DJSSW19d=8, n=40962022.094.4741
DJSSW19d=32, n=81922022.094.7172
KronMatMuld=64, n=163842022.098.2375
KronMatMuld=16, n=81922022.098.2601
FastKroneckerRegressiond=16, n=81922022.098.5251