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"Influence Sketching": Finding Influential Samples In Large-Scale
  Regressions

"Influence Sketching": Finding Influential Samples In Large-Scale Regressions

17 November 2016
M. Wojnowicz
Ben Cruz
Xuan Zhao
Brian Wallace
Matt Wolff
Jay Luan
Caleb Crable
    TDI
ArXivPDFHTML

Papers citing ""Influence Sketching": Finding Influential Samples In Large-Scale Regressions"

4 / 4 papers shown
Title
GraSS: Scalable Influence Function with Sparse Gradient Compression
GraSS: Scalable Influence Function with Sparse Gradient Compression
Pingbang Hu
Joseph Melkonian
Weijing Tang
Han Zhao
Jiaqi W. Ma
TDI
161
0
0
25 May 2025
Most Influential Subset Selection: Challenges, Promises, and Beyond
Most Influential Subset Selection: Challenges, Promises, and Beyond
Yuzheng Hu
Pingbang Hu
Han Zhao
Jiaqi W. Ma
TDI
157
7
0
10 Jan 2025
Projecting "better than randomly": How to reduce the dimensionality of
  very large datasets in a way that outperforms random projections
Projecting "better than randomly": How to reduce the dimensionality of very large datasets in a way that outperforms random projections
M. Wojnowicz
Di Zhang
Glenn Chisholm
Xuan Zhao
Matt Wolff
45
11
0
03 Jan 2019
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
582
16,828
0
16 Feb 2016
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