21 citations · 26 across the 4 of their papers we have counts for
Showing stat.MLShow all
2 papers · 1 filter
stat.ML2019
Projecting "better than randomly": How to reduce the dimensionality of very large datasets in a way that outperforms random projections
Michael Wojnowicz, Di Zhang, Glenn Chisholm +2
For very large datasets, random projections (RP) have become the tool of choice for dimensionality reduction. This is due to the computational complexity of principal component ana…
stat.ML2016★ 21 cited
"Influence Sketching": Finding Influential Samples In Large-Scale Regressions
Mike Wojnowicz, Ben Cruz, Xuan Zhao +4
There is an especially strong need in modern large-scale data analysis to prioritize samples for manual inspection. For example, the inspection could target important mislabeled sa…