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| author | Thibaut Horel <thibaut.horel@gmail.com> | 2015-12-11 21:39:50 -0500 |
|---|---|---|
| committer | Thibaut Horel <thibaut.horel@gmail.com> | 2015-12-11 21:39:50 -0500 |
| commit | 4f673d21722aba9afa87af633c33e83cfd6a802f (patch) | |
| tree | de84c267d66e9a49e1c082e95df5b233ac50074f /finale/sparse.bib | |
| parent | 6d9f6bad8fea9e062b2427f0950c662f3f83fd4a (diff) | |
| download | cascades-4f673d21722aba9afa87af633c33e83cfd6a802f.tar.gz | |
Some bullshit on using SGD for online learning (however I think the intuition
is correct and could be used to obtain a formal guarantee)
Diffstat (limited to 'finale/sparse.bib')
| -rw-r--r-- | finale/sparse.bib | 9 |
1 files changed, 9 insertions, 0 deletions
diff --git a/finale/sparse.bib b/finale/sparse.bib index 11e7c27..1690ee2 100644 --- a/finale/sparse.bib +++ b/finale/sparse.bib @@ -1,3 +1,12 @@ +@incollection{bottou, + title={Large-scale machine learning with stochastic gradient descent}, + author={Bottou, L{\'e}on}, + booktitle={Proceedings of COMPSTAT'2010}, + pages={177--186}, + year={2010}, + publisher={Springer} +} + @inproceedings{shababo, title={Bayesian inference and online experimental design for mapping neural microcircuits}, author={Shababo, Ben and Paige, Brooks and Pakman, Ari and Paninski, Liam}, |