Added rulse for Journal of Machine Learning Research Publication
@@ -27,6 +27,15 @@ dual_res = || rho * A' * ((alpha - 1) * z_tilde_k - z_k + (2 - alpha) * z_prev)
- [ ] Proove convergence to vectors satisfying Farkas lemma
- [ ] Write examples in the paper
+#### Submission: [Journal of Machine Learning Research](http://www.jmlr.org/)
+[Rules](http://www.jmlr.org/author-info.html#Originality) for conference submissions before journal ones:
+
+> Submissions to JMLR cannot have been published previously in any other journal. We will consider submissions that have been published at workshops or conferences. In these cases, we expect the JMLR submission to cite the prior work, go into much greater depth and to extend the published results in a substantive way. In all cases, authors must notify JMLR about previous publication at the time of submission, and explain the differences from their prior work.
+>
+> We will also consider concurrent submissions of papers that are under review at conferences, provided the conference explicitly allows for this. In this case, too, we expect that the difference between the papers satisfy the above requirements, and we ask authors to provide their conference submission to the JMLR action editor in charge of the JMLR submission.
+>
+> Examples of (possibly) acceptable 'deltas' beyond a conference paper include: new theoretical results, entirely new application domains, significant new insights and/or analyses. Examples of insufficient deltas include: adding proofs that were omitted from a conference paper; minor variations or extensions of previous experiments; adding extra background material or references. However, we ultimately leave the decision about whether a 'delta' is significant enough up to the individual reviewers.
+
### Other Test Problems
