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abess: A Fast Best Subset Selection Library in Python and R
v1v2 (latest)

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

19 October 2021
Jin Zhu
Xueqin Wang
Liyuan Hu
Junhao Huang
Kangkang Jiang
Yanhang Zhang
Shiyun Lin
Junxian Zhu
ArXiv (abs)PDFHTMLGithub (485★)

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

15 / 15 papers shown
Title
High-dimensional Bayesian Tobit regression for censored response with Horseshoe prior
High-dimensional Bayesian Tobit regression for censored response with Horseshoe prior
Tien Mai
57
2
0
13 May 2025
Sparse Optimization for Transfer Learning: A L0-Regularized Framework for Multi-Source Domain Adaptation
Sparse Optimization for Transfer Learning: A L0-Regularized Framework for Multi-Source Domain Adaptation
Chenqi Gong
Hu Yang
47
0
0
07 Apr 2025
FastSurvival: Hidden Computational Blessings in Training Cox
  Proportional Hazards Models
FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models
Jiachang Liu
Rui Zhang
Cynthia Rudin
84
0
0
24 Oct 2024
A sparse PAC-Bayesian approach for high-dimensional quantile prediction
A sparse PAC-Bayesian approach for high-dimensional quantile prediction
The Tien Mai
68
3
0
03 Sep 2024
Automated Model Selection for Generalized Linear Models
Automated Model Selection for Generalized Linear Models
Benjamin Schwendinger
Florian Schwendinger
Laura Vana-Gür
45
0
0
25 Apr 2024
skscope: Fast Sparsity-Constrained Optimization in Python
skscope: Fast Sparsity-Constrained Optimization in Python
Zezhi Wang
Jin Zhu
Peng Chen
Huiyang Peng
Xiaoke Zhang
Anran Wang
Yu Zheng
Junxian Zhu
Xueqin Wang
43
0
0
27 Mar 2024
IGANN Sparse: Bridging Sparsity and Interpretability with Non-linear
  Insight
IGANN Sparse: Bridging Sparsity and Interpretability with Non-linear Insight
Theodor Stoecker
Nico Hambauer
Patrick Zschech
Mathias Kraus
50
0
0
17 Mar 2024
On the Computational Complexity of Private High-dimensional Model
  Selection
On the Computational Complexity of Private High-dimensional Model Selection
Saptarshi Roy
Zehua Wang
Ambuj Tewari
63
0
0
11 Oct 2023
A Consistent and Scalable Algorithm for Best Subset Selection in Single
  Index Models
A Consistent and Scalable Algorithm for Best Subset Selection in Single Index Models
Borui Tang
Jin Zhu
Junxian Zhu
Xueqin Wang
Heping Zhang
41
0
0
12 Sep 2023
Best-Subset Selection in Generalized Linear Models: A Fast and
  Consistent Algorithm via Splicing Technique
Best-Subset Selection in Generalized Linear Models: A Fast and Consistent Algorithm via Splicing Technique
Junxian Zhu
Jin Zhu
Borui Tang
Xuan-qing Chen
Hongmei Lin
Xueqin Wang
34
2
0
01 Aug 2023
Zipper: Addressing degeneracy in algorithm-agnostic inference
Zipper: Addressing degeneracy in algorithm-agnostic inference
Geng Chen
Yinxu Jia
Guanghui Wang
Changliang Zou
58
0
0
29 Jun 2023
Understanding Best Subset Selection: A Tale of Two C(omplex)ities
Understanding Best Subset Selection: A Tale of Two C(omplex)ities
Saptarshi Roy
Ambuj Tewari
Ziwei Zhu
180
0
0
16 Jan 2023
Noise-aware Physics-informed Machine Learning for Robust PDE Discovery
Noise-aware Physics-informed Machine Learning for Robust PDE Discovery
Pongpisit Thanasutives
Takeshi Morita
M. Numao
Ken-ichi Fukui
PINNAI4CE
119
19
0
26 Jun 2022
Holistic Generalized Linear Models
Holistic Generalized Linear Models
Benjamin Schwendinger
Florian Schwendinger
Laura Vana
AI4CE
53
2
0
30 May 2022
A Splicing Approach to Best Subset of Groups Selection
A Splicing Approach to Best Subset of Groups Selection
Yanhang Zhang
Junxian Zhu
Jin Zhu
Xueqin Wang
44
18
0
23 Apr 2021
1