abess: A Fast Best Subset Selection Library in Python and R

19 October 2021

Papers citing "abess: A Fast Best Subset Selection Library in Python and R"

10 / 10 papers shown

Title
Understanding Best Subset Selection: A Tale of Two C(omplex)ities Saptarshi Roy Ambuj Tewari Ziwei Zhu 79 0 0 16 Jan 2023
A Splicing Approach to Best Subset of Groups Selection Yanhang Zhang Junxian Zhu Jin Zhu Xueqin Wang 37 18 0 23 Apr 2021
OpenML-Python: an extensible Python API for OpenML Matthias Feurer Jan N. van Rijn Arlind Kadra Pieter Gijsbers Neeratyoy Mallik Sahithya Ravi Andreas Müller Joaquin Vanschoren Frank Hutter ELM GP 42 88 0 06 Nov 2019
Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization Algorithms Hussein Hazimeh Rahul Mazumder 214 180 0 05 Mar 2018
Celer: a Fast Solver for the Lasso with Dual Extrapolation Mathurin Massias Alexandre Gramfort Joseph Salmon 51 72 0 21 Feb 2018
Accelerated Alternating Projections for Robust Principal Component Analysis HanQin Cai Jian-Feng Cai Ke Wei 56 67 0 15 Nov 2017
Sparse High-Dimensional Regression: Exact Scalable Algorithms and Phase Transitions Dimitris Bertsimas Bart P. G. Van Parys 104 158 0 28 Sep 2017
Regularized Ordinal Regression and the ordinalNet R Package Mike Wurm P. Rathouz B. Hanlon 47 76 0 15 Jun 2017
Community detection in sparse networks via Grothendieck's inequality O. Guédon Roman Vershynin 56 211 0 17 Nov 2014
Calibrating nonconvex penalized regression in ultra-high dimension Lan Wang Yongdai Kim Runze Li 101 169 0 20 Nov 2013