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diff --git a/old_work/sparse.bib b/old_work/sparse.bib new file mode 100644 index 0000000..969e45d --- /dev/null +++ b/old_work/sparse.bib @@ -0,0 +1,105 @@ +@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.
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