A Blockwise Descent Algorithm for Group-penalized Multiresponse and Multinomial Regression
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Abstract (arXiv)
In this paper we purpose a blockwise descent algorithm for group-penalized multiresponse regression. Using a quasi-newton framework we extend this to group-penalized multinomial regression. We give a publicly available implementation for these in R, and compare the speed of this algorithm to a competing algorithm --- we show that our implementation is an order of magnitude faster than its competitor, and can solve gene-expression-sized problems in real time.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 26 Nov 2013.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 2; 2024: 1; 2025: 1; 2026: 1.
8 papers.
- 2022Scalable Penalized Regression for Noise Detection in Learning with Noisy Labelscited by 15
- 2024A Fast and Scalable Pathwise-Solver for Group Lasso and Elastic Net Penalized Regression via Block-Coordinate Descentcited by 5
- 2022Noise Covariance Estimation in Multi-Task High-dimensional Linear Modelscited by 3
- 2023A hybrid machine learning framework for clad characteristics prediction in metal additive manufacturingcited by 2
- 2023Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labelscited by 1
- 2025Nonlinear Multiple Response Regression and Learning of Latent Spacescited by 1
- 2021Efficient and robust high-dimensional sparse logistic regression via nonlinear primal-dual hybrid gradient algorithmscited by 0
- 2026Gradient boosting with vector-valued leafscited by 0
- 2026Gradient boosting with vector-valued leafs28 Jun 2026
- 2025Nonlinear Multiple Response Regression and Learning of Latent Spaces27 Mar 2025
- 2024A Fast and Scalable Pathwise-Solver for Group Lasso and Elastic Net Penalized Regression via Block-Coordinate Descent14 May 2024
- 2023A hybrid machine learning framework for clad characteristics prediction in metal additive manufacturing4 Jul 2023
- 2023Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels2 Jan 2023
- 2022Noise Covariance Estimation in Multi-Task High-dimensional Linear Models15 Jun 2022
- 2022Scalable Penalized Regression for Noise Detection in Learning with Noisy Labels15 Mar 2022
- 2021Efficient and robust high-dimensional sparse logistic regression via nonlinear primal-dual hybrid gradient algorithms30 Nov 2021