Research map / Learning theory and algorithms / Matrix and tensor methods
Subquadratic Kronecker Regression with Applications to Tensor Decomposition
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use FastKroneckerRegression instead of DJSSW19 (same sketch) | Kronecker regression sketching · Kronecker regression d=64, n=4096 | loss: 275.566 -> 0.520 | Helped |
| Use FastKroneckerRegression instead of DJSSW19 (same sketch) | Kronecker regression sketching · Kronecker regression d=64, n=16384 | loss: 546391.728 -> 8.608 | Helped |
| Use FastKroneckerRegression instead of DJSSW19 (same sketch) | Kronecker regression sketching · Kronecker regression d=64, n=1024 | loss: 0.035 -> 0.032 | No clear effect |
| Use FastKroneckerRegression instead of DJSSW19 as dimension d grows | Kronecker regression sketching · Kronecker regression runtime | running time | Helped |
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