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Kronecker Regression on Synthetic Kronecker product matrices d=64

0.031LossKronMatMul
-21,855.63688125,670.12131273,195.8795420,721.63769Sep 11, 2022

Evaluation results

MethodLinks
KronMatMuln=1024, d=64, lambda=10^-32022.090.031—
FastKroneckerRegressionn=1024, d=64, epsilon=0.1, delta=0.01, alpha=10^-5, lambda=10^-3, Rows sampled (%)=0.0372022.090.0321.051
DJSSW19n=1024, d=64, epsilon=0.1, delta=0.01, alpha=10^-5, lambda=10^-3, Rows sampled (%)=0.0372022.090.0351.138
KronMatMuln=2048, d=64, lambda=10^-32022.090.123—
FastKroneckerRegressionn=2048, d=64, epsilon=0.1, delta=0.01, alpha=10^-5, lambda=10^-3, Rows sampled (%)=0.00932022.090.1261.026
KronMatMuln=4096, d=64, lambda=10^-32022.090.507—
FastKroneckerRegressionn=4096, d=64, epsilon=0.1, delta=0.01, alpha=10^-5, lambda=10^-3, Rows sampled (%)=0.00232022.090.521.026
DJSSW19n=2048, d=64, epsilon=0.1, delta=0.01, alpha=10^-5, lambda=10^-3, Rows sampled (%)=0.00932022.091.57712.792
KronMatMuln=8192, d=64, lambda=10^-32022.092.073—
FastKroneckerRegressionn=8192, d=64, epsilon=0.1, delta=0.01, alpha=10^-5, lambda=10^-3, Rows sampled (%)=0.00062022.092.1361.03
KronMatMuln=16384, d=64, lambda=10^-32022.098.238—
FastKroneckerRegressionn=16384, d=64, epsilon=0.1, delta=0.01, alpha=10^-5, lambda=10^-3, Rows sampled (%)=0.00012022.098.6081.045
DJSSW19n=4096, d=64, epsilon=0.1, delta=0.01, alpha=10^-5, lambda=10^-3, Rows sampled (%)=0.00232022.09275.566543.776
DJSSW19n=8192, d=64, epsilon=0.1, delta=0.01, alpha=10^-5, lambda=10^-3, Rows sampled (%)=0.00062022.09333.43160.809
DJSSW19n=16384, d=64, epsilon=0.1, delta=0.01, alpha=10^-5, lambda=10^-3, Rows sampled (%)=0.00012022.09546,391.72866,329.791