Fast and Flexible ADMM Algorithms for Trend Filtering
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[1] C. R. Deboor,et al. A practical guide to splines , 1978 .
[2] Carl de Boor,et al. A Practical Guide to Splines , 1978, Applied Mathematical Sciences.
[3] G. Wahba. Spline models for observational data , 1990 .
[4] R. Tibshirani,et al. Generalized Additive Models , 1991 .
[5] L. Rudin,et al. Nonlinear total variation based noise removal algorithms , 1992 .
[6] S. Geer,et al. Locally adaptive regression splines , 1997 .
[7] P. Davies,et al. Local Extremes, Runs, Strings and Multiresolution , 2001 .
[8] R. Tibshirani,et al. Sparsity and smoothness via the fused lasso , 2005 .
[9] Stephan Didas,et al. Splines in Higher Order TV Regularization , 2006, International Journal of Computer Vision.
[10] Stephen P. Boyd,et al. Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.
[11] Quentin F. Stout,et al. Unimodal regression via prefix isotonic regression , 2008, Comput. Stat. Data Anal..
[12] Stephen P. Boyd,et al. 1 Trend Filtering , 2009, SIAM Rev..
[13] Yiyuan She,et al. Outlier Detection Using Nonconvex Penalized Regression , 2010, ArXiv.
[14] R. Tibshirani,et al. The solution path of the generalized lasso , 2010, 1005.1971.
[15] Stephen P. Boyd,et al. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers , 2011, Found. Trends Mach. Learn..
[16] Robert Tibshirani,et al. Nearly-Isotonic Regression , 2011, Technometrics.
[17] Nicholas A. Johnson,et al. A Dynamic Programming Algorithm for the Fused Lasso and L 0-Segmentation , 2013 .
[18] R. Tibshirani. Adaptive piecewise polynomial estimation via trend filtering , 2013, 1304.2986.
[19] Ryan J. Tibshirani,et al. Efficient Implementations of the Generalized Lasso Dual Path Algorithm , 2014, ArXiv.
[20] Alexander J. Smola,et al. The Falling Factorial Basis and Its Statistical Applications , 2014, ICML.