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Additive Models with Trend Filtering
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Additive Models with Trend Filtering

Annals of Statistics (Ann. Stat.), 2017
16 February 2017
Veeranjaneyulu Sadhanala
Robert Tibshirani
ArXiv (abs)PDFHTML

Papers citing "Additive Models with Trend Filtering"

15 / 15 papers shown
Variance estimation in graphs with the fused lasso
Variance estimation in graphs with the fused lassoJournal of machine learning research (JMLR), 2022
Oscar Hernan Madrid Padilla
529
7
0
26 Jul 2022
DDAC-SpAM: A Distributed Algorithm for Fitting High-dimensional Sparse
  Additive Models with Feature Division and Decorrelation
DDAC-SpAM: A Distributed Algorithm for Fitting High-dimensional Sparse Additive Models with Feature Division and DecorrelationJournal of the American Statistical Association (JASA), 2022
Yifan He
Ruiyang Wu
Yong Zhou
Yang Feng
351
3
0
16 May 2022
A Unified Algorithm for Penalized Convolution Smoothed Quantile
  Regression
A Unified Algorithm for Penalized Convolution Smoothed Quantile RegressionJournal of Computational And Graphical Statistics (JCGS), 2022
Rebeka Man
Xiaoou Pan
Kean Ming Tan
Wen-Xin Zhou
335
23
0
05 May 2022
A cautionary tale on fitting decision trees to data from additive
  models: generalization lower bounds
A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds
Yan Shuo Tan
Abhineet Agarwal
Bin Yu
266
14
0
18 Oct 2021
Interpretable Machine Learning: Fundamental Principles and 10 Grand
  Challenges
Interpretable Machine Learning: Fundamental Principles and 10 Grand ChallengesStatistics Survey (Stat. Surv.), 2021
Cynthia Rudin
Chaofan Chen
Zhi Chen
Haiyang Huang
Lesia Semenova
Chudi Zhong
FaMLAI4CELRM
530
913
0
20 Mar 2021
Tensor denoising with trend filtering
Tensor denoising with trend filteringMathematical Statistics and Learning (MSL), 2021
Francesco Ortelli
Sara van de Geer
248
5
0
26 Jan 2021
Risk Bounds for Quantile Trend Filtering
Risk Bounds for Quantile Trend FilteringBiometrika (Biometrika), 2020
Oscar Hernan Madrid Padilla
S. Chatterjee
524
24
0
15 Jul 2020
How Interpretable and Trustworthy are GAMs?
How Interpretable and Trustworthy are GAMs?Knowledge Discovery and Data Mining (KDD), 2020
C. Chang
S. Tan
Benjamin J. Lengerich
Anna Goldenberg
R. Caruana
FAtt
407
91
0
11 Jun 2020
Hierarchical Total Variations and Doubly Penalized ANOVA Modeling for
  Multivariate Nonparametric Regression
Hierarchical Total Variations and Doubly Penalized ANOVA Modeling for Multivariate Nonparametric RegressionJournal of Computational And Graphical Statistics (JCGS), 2019
Ting Yang
Zhiqiang Tan
228
2
0
16 Jun 2019
Prediction bounds for higher order total variation regularized least
  squares
Prediction bounds for higher order total variation regularized least squares
Francesco Ortelli
Sara van de Geer
378
21
0
24 Apr 2019
An analysis of the cost of hyper-parameter selection via split-sample
  validation, with applications to penalized regression
An analysis of the cost of hyper-parameter selection via split-sample validation, with applications to penalized regression
Jean Feng
N. Simon
292
3
0
28 Mar 2019
Generalized Sparse Additive Models
Generalized Sparse Additive Models
Asad Haris
N. Simon
Ali Shojaie
217
18
0
11 Mar 2019
Nonparametric smoothing for extremal quantile regression with heavy
  tailed distributions
Nonparametric smoothing for extremal quantile regression with heavy tailed distributions
Takuma Yoshida
138
2
0
08 Mar 2019
Dykstra's Algorithm, ADMM, and Coordinate Descent: Connections,
  Insights, and Extensions
Dykstra's Algorithm, ADMM, and Coordinate Descent: Connections, Insights, and Extensions
Robert Tibshirani
299
46
0
12 May 2017
Nonparametric Regression with Adaptive Truncation via a Convex
  Hierarchical Penalty
Nonparametric Regression with Adaptive Truncation via a Convex Hierarchical Penalty
Asad Haris
Ali Shojaie
N. Simon
598
9
0
30 Nov 2016
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