Algorithms for Fitting the Constrained Lasso

28 October 2016

Papers citing "Algorithms for Fitting the Constrained Lasso"

12 / 12 papers shown

Title
Semiparametric Counterfactual Regression Kwangho Kim OffRL 43 0 0 03 Apr 2025
Pareto optimal proxy metrics Lee Richardson Alessandro Zito Dylan Greaves Jacopo Soriano 76 2 0 20 Feb 2025
A cost-sensitive constrained Lasso R. Blanquero E. Carrizosa Pepa Ramírez-Cobo M. R. Sillero-Denamiel 13 8 0 31 Jan 2024
Quantum Algorithms for the Pathwise Lasso J. F. Doriguello Debbie Lim Chi Seng Pun Patrick Rebentrost Tushar Vaidya 45 1 0 21 Dec 2023
Doubly Robust Counterfactual Classification K. Kim Edward H. Kennedy J. Zubizarreta OffRL 33 5 0 15 Jan 2023
Functional Mixtures-of-Experts Faicel Chamroukhi Nhat-Thien Pham V. Hoang Geoffrey J. McLachlan 21 4 0 04 Feb 2022
Optimized ensemble deep learning framework for scalable forecasting of dynamics containing extreme events Arnob Ray Tanujit Chakraborty D. Ghosh AI4TS 19 28 0 09 Jun 2021
Weighted Sparse Subspace Representation: A Unified Framework for Subspace Clustering, Constrained Clustering, and Active Learning Hankui Peng N. Pavlidis 27 0 0 08 Jun 2021
Predicting Online Item-choice Behavior: A Shape-restricted Regression Perspective Naoki Nishimura Noriyoshi Sukegawa Yuichi Takano J. Iwanaga 21 1 0 18 Apr 2020
Linear Support Vector Regression with Linear Constraints Quentin Klopfenstein Samuel Vaiter 192 14 0 06 Nov 2019
Generalized Linear Model Regression under Distance-to-set Penalties Jason Xu Eric C. Chi K. Lange 33 36 0 03 Nov 2017
Efficient Data Representation by Selecting Prototypes with Importance Weights Karthik S. Gurumoorthy Amit Dhurandhar Guillermo Cecchi Charu Aggarwal 29 22 0 05 Jul 2017