Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization
Tong Zhang and Shai Shalev-Shwartz

Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization.pdf 711.51kB
Type: Paper
Tags:

Metadata: 
@article{14:17,author={Shai Shalev-Shwartz and Tong Zhang}, Title={Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization},journal={Journal of Machine Learning Research},volume={14}, url={http://www.jmlr.org/papers/volume14/shalev-shwartz13a/shalev-shwartz13a.pdf}}
Citation:
Zhang, T. & Shalev-Shwartz, S.. (2014). Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization [Data set]. Academic Torrents. https://academictorrents.com/details/ba016e245fb44ec204437338eecd1cf4b94c65a8
No stats to report yet.
Related Torrents
Report
Send Feedback Start
   0.000004
DB Connect
   0.000326
Lookup hash in DB
   0.000338
Get torrent details
   0.000108
Get torrent details, finished
   0.000191
Get authors
   0.000001
Select authors
   0.000144
Parse bibtex
   0.000081
Write header
   0.000171
get stars
   0.000089
home tab
   0.000101
render right panel
   0.000002
render ads
   0.000288
fetch current hosters
   0.000206
Start get stats
   0.000289
End get stats
   0.000001
related datasets
   0.000932
Done