Big reorganisation of the repo

1 files changed, 105 insertions, 0 deletions

diff --git a/old_work/sparse.bib b/old_work/sparse.bib
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+@article {CandesRomberTao:2006,
+author = {Candès, Emmanuel J. and Romberg, Justin K. and Tao, Terence},
+title = {Stable signal recovery from incomplete and inaccurate measurements},
+journal = {Communications on Pure and Applied Mathematics},
+volume = {59},
+number = {8},
+publisher = {Wiley Subscription Services, Inc., A Wiley Company},
+issn = {1097-0312},
+pages = {1207--1223},
+year = {2006},
+}
+
+
+@inproceedings{GomezRodriguez:2010,
+ author = {Gomez Rodriguez, Manuel and Leskovec, Jure and Krause, Andreas},
+ title = {Inferring Networks of Diffusion and Influence},
+ booktitle = {Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
+ series = {KDD '10},
+ year = {2010},
+ isbn = {978-1-4503-0055-1},
+ location = {Washington, DC, USA},
+ pages = {1019--1028},
+ numpages = {10},
+ publisher = {ACM},
+ address = {New York, NY, USA},
+} 
+
+
+@article{Netrapalli:2012,
+ author = {Netrapalli, Praneeth and Sanghavi, Sujay},
+ title = {Learning the Graph of Epidemic Cascades},
+ journal = {SIGMETRICS Perform. Eval. Rev.},
+ volume = {40},
+ number = {1},
+ month = {June},
+ year = {2012},
+ issn = {0163-5999},
+ pages = {211--222},
+ numpages = {12},
+ publisher = {ACM},
+ address = {New York, NY, USA},
+ keywords = {cascades, epidemics, graph structure learning},
+}
+
+@article{Negahban:2009,
+ author = {Negahban, Sahand N. and Ravikumar, Pradeep and Wrainwright, Martin J. and Yu, Bin},
+ title = {A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers},
+ Journal = {Statistical Science},
+ year = {2012},
+ month = {December},
+ volume = {27},
+ number = {4},
+ pages = {538--557},
+}
+
+@article{Zhao:2006,
+ author = {Zhao, Peng and Yu, Bin},
+ title = {On Model Selection Consistency of Lasso},
+ journal = {J. Mach. Learn. Res.},
+ issue_date = {12/1/2006},
+ volume = {7},
+ month = dec,
+ year = {2006},
+ issn = {1532-4435},
+ pages = {2541--2563},
+ numpages = {23},
+ url = {http://dl.acm.org/citation.cfm?id=1248547.1248637},
+ acmid = {1248637},
+ publisher = {JMLR.org},
+} 
+
+@inproceedings{Daneshmand:2014,
+  author    = {Hadi Daneshmand and
+               Manuel Gomez{-}Rodriguez and
+               Le Song and
+               Bernhard Sch{\"{o}}lkopf},
+  title     = {Estimating Diffusion Network Structures: Recovery Conditions, Sample
+               Complexity {\&} Soft-thresholding Algorithm},
+  booktitle = {Proceedings of the 31th International Conference on Machine Learning,
+               {ICML} 2014, Beijing, China, 21-26 June 2014},
+  pages     = {793--801},
+  year      = {2014},
+  crossref  = {DBLP:conf/icml/2014},
+  url       = {http://jmlr.org/proceedings/papers/v32/daneshmand14.html},
+  timestamp = {Fri, 07 Nov 2014 20:42:30 +0100},
+  biburl    = {http://dblp.uni-trier.de/rec/bib/conf/icml/DaneshmandGSS14},
+  bibsource = {dblp computer science bibliography, http://dblp.org}
+}
+
+\bibitem{abrahao}
+Abrahao, B., Chierichetti, F., Kleinberg, R., and Panconesi, A.
+\newblock{\it Trace Complexity of Network Inference}
+\newblock In Proc. 19th ACM SIGKDD international conference on Knowledge discovery and data mingin, KDD'13, pages 491--499,
+\newblock 2013
+
+\bibitem{candes}
+Candès, E., and Plan, Y.
+\newblock {\it A Probabilistic and RIPless Theory of Compressed Sensing}
+\newblock Information Theory, IEEE Transactions on, 57(11): 7235--7254,
+\newblock 2011.
+
+\bibitem{snap}
+Leskovec, J., and Krevl, A.,
+\newblock {\it SNAP Datasets: Stanford Large Network Dataset Collection},
+\newblock 2014.
\ No newline at end of file