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@article{Aitchison:1984,
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author = {Aitchion, J. and Bacon-Shone, J.},
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title = {{Log contrast models for experiments with mixtures}},
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title = {Log contrast models for experiments with mixtures},
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journal = {Biometrika},
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volume = {71},
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number = {2},
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Journal = {Journal of Optimization Theory and Applications},
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Number = {3},
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Pages = {907--924},
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Title = {{A Projected Primal--Dual Method for Solving Constrained Monotone Inclusions}},
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Title = {A Projected Primal--Dual Method for Solving Constrained Monotone Inclusions},
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Ty = {JOUR},
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Url = {https://doi.org/10.1007/s10957-018-1430-2},
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Volume = {180},
@@ -64,7 +64,7 @@ @article{Combettes:2020a
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number = {1},
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pages = {207--238},
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publisher = {The Institute of Mathematical Statistics and the Bernoulli Society},
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title = {{Perspective maximum likelihood-type estimation via proximal decomposition}},
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title = {Perspective maximum likelihood-type estimation via proximal decomposition},
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url = {https://doi.org/10.1214/19-EJS1662},
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volume = {14},
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year = {2020}
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Id = {Combettes2020},
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Isbn = {1867-1772},
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Journal = {Statistics in Biosciences},
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Title = {{Regression Models for Compositional Data: General Log-Contrast Formulations, Proximal Optimization, and Microbiome Data Applications}},
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Title = {Regression Models for Compositional Data: General Log-Contrast Formulations, Proximal Optimization, and Microbiome Data Applications},
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Ty = {JOUR},
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Url = {https://doi.org/10.1007/s12561-020-09283-2},
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Year = {2020},
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@article{Gaines:2018,
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author = {Brian R. Gaines and Juhyun Kim and Hua Zhou},
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title = {{Algorithms for Fitting the Constrained Lasso}},
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title = {Algorithms for Fitting the Constrained Lasso},
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journal = {Journal of Computational and Graphical Statistics},
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volume = {27},
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number = {4},
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@article{James:2020,
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author = {Gareth M. James and Courtney Paulson and Paat Rusmevichientong},
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title = {{Penalized and Constrained Optimization: An Application to High-Dimensional Website Advertising}},
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title = {Penalized and Constrained Optimization: An Application to High-Dimensional Website Advertising},
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journal = {Journal of the American Statistical Association},
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volume = {115},
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number = {529},
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@book{Hastie:2009,
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title= {{The Elements of Statistical Learning: Data Mining, Inference, and Prediction}},
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title={The Elements of Statistical Learning: Data Mining, Inference, and Prediction},
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author={Hastie, T. and Tibshirani, R. and Friedman, J.H.},
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isbn={9780387848846},
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lccn={2008941148},
@@ -155,7 +155,7 @@ @article{Lee:2013
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year = {2013},
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month = {03},
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pages = {},
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title = {{A study on L2-loss (Squared Hinge-Loss) multiclass SVM}},
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title = {A study on L2-loss (Squared Hinge-Loss) multiclass SVM},
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volume = {25},
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journal = {Neural computation},
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doi = {10.1162/NECO_a_00434}
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@article{Meinshausen:2010,
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author = {Meinshausen, Nicolai and Bühlmann, Peter},
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title = {{Stability selection}},
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title = {Stability selection},
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journal = {Journal of the Royal Statistical Society: Series B (Statistical Methodology)},
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volume = {72},
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number = {4},

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