Research map / Optimization / Nonconvex and smooth optimization
A Richer Theory of Convex Constrained Optimization with Reduced Projections and Improved Rates
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use LoPNAG with reduced projections instead of NESTA | Compressive sensing · Compressive sensing | time (s): 501.65 -> 35.88 | Helped |
| Use LoPNAG with reduced projections instead of NESTA | Compressive sensing · Compressive sensing | recovery error: 0.018657 -> 0.018038 | Helped |
| Use LoPNAG with reduced projections instead of NESTA | Compressive sensing · Compressive sensing | objective: 52.050044 -> 52.042418 | Helped |
| Use LoPGD instead of OPGD | Distance metric learning · Distance metric learning | objective: 0.1707 -> 0.0405 | Helped |
| Use LoPGD instead of PGD | Distance metric learning · Distance metric learning | time (h): 57.43 -> 1.89 | Helped |
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