AMlet, RAMlet, and GAMlet: Automatic Nonlinear Fitting of Additive Models, Robust and Generalized, With Wavelets

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Additive models with trend filtering (2017, neutral): “Proposed independently by Steidl et al. (2006) and Kim et al.”
Fused Lasso Additive Model (2014, methodology): “Flexible additive modeling in high dimensions has been an active area of research in recent years [Avalos et al., 2007, Huang et al., 2010, Li and Liu, 2014, Lin and Zhang, 2006, Sardy and Tseng, 2004, Wood et al., 2014, Zhang et al., 2011].”
High-dimensional additive modeling (2008, neutral): “Other approaches are based on wavelets [27] or can adapt to the unknown smoothness of the underlying functions [2].”
A coordinate gradient descent method for nonsmooth separable minimization (2008, methodology): “[5,7,10,11,34,50,51].”
Nonparametric Inferences for Additive Models (2005, methodology): “…approximation approach of Amato, Antoniadis, and De Feis (2002), the linear wavelet strategies of Amato and Antoniadis (2001), and the nonlinear wavelet estimation method of Sardy and Tseng (2004) using the block coordinate relaxation algorithm of Sardy, Bruce, and Tseng (2000), among others.”