Research map / Learning theory and algorithms / Matrix and tensor methods
Learning the Positions in CountSketch
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Optimize CountSketch nonzero positions in addition to values, versus random positions with learned values | Learned CountSketch for low-rank approximation · Friends, Hyper, Logo, Yelp, Social | approximation error: For (20, 40): Friends 1.0484 -> 0.8998; Hyper 3.7648 -> 2.4977; Logo 0.6879 -> 0.5009; Yelp 0.1316 -> 0.1302; Social 30. | Helped |
| Optimize CountSketch nonzero positions in addition to values, versus random positions with learned values | Learned CountSketch for k-means · Friends, Hyper, Logo, Yelp, Social | k-means cost: The paper reports values for k-means were only trivially different (<1%) between methods. | No clear effect |
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