Rademacher Observations, Private Data, and Boosting thumbnail
Pause
Mute
Subtitles not available
Playback speed
0.25
0.5
0.75
1
1.25
1.5
1.75
2
Full screen

Rademacher Observations, Private Data, and Boosting

Published on Dec 05, 20151523 Views

The minimization of the logistic loss is a popular approach to batch supervised learning. Our paper starts from the surprising observation that, when fitting linear classifiers, the minimization of th

Related categories