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Variable Selection

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://bitbucket.org/dmmlgeneva/nvsd_uai2018

공식 코드

Structured nonlinear variable selection

https://cran.r-project.org/web/packages/dual.spls

공식 코드

Dual-sPLS: a family of Dual Sparse Partial Least Squares regressions for feature selection and prediction with tunable sparsity; evaluation on simulated and near-infrared (NIR) data

https://github.com/AlexanderBertrandLab/benchmarkStudySensorSelection

공식 코드

Grouped Variable Selection for Generalized Eigenvalue Problems

https://github.com/FWen/ncreg

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A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning

https://github.com/FabianObster/sgboost-introduction

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Sparse-Group Boosting with Balanced Selection Frequencies: A Simulation-Based Approach and R Implementation

https://github.com/HannaMeyer/EcoMod_SpML

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Importance of spatial predictor variable selection in machine learning applications -- Moving from data reproduction to spatial prediction

https://github.com/JeroenGoedhart/EB_coBART_paper

공식 코드

Co-data Learning for Bayesian Additive Regression Trees

https://github.com/JinchengBai/sparse-variational-bnn

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Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee

https://github.com/JunYongJeong/VSTG-MTL

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Variable Selection and Task Grouping for Multi-Task Learning

https://github.com/Kingsford-Group/vsbo

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Computationally Efficient High-Dimensional Bayesian Optimization via Variable Selection

https://github.com/MahdiNouraie/Stable-Stability-Selection

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On the Selection Stability of Stability Selection and Its Applications

https://github.com/MahdiNouraie/stabplot

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On the Selection Stability of Stability Selection and Its Applications

https://github.com/Nathan-Osborne/SINC

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Latent Network Estimation and Variable Selection for Compositional Data via Variational EM

https://github.com/NathanWycoff/prox_alasso

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Proximal Iteration for Nonlinear Adaptive Lasso

https://github.com/Pesaran/High-dimensional-UK-Inflation-Forecast-April-4-2024

공식 코드

High-dimensional forecasting with known knowns and known unknowns

https://github.com/QUVA-Lab/COMBO

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Combinatorial Bayesian Optimization using the Graph Cartesian Product

https://github.com/Rorn001/causal-learning

공식 코드

Causal Feature Learning in the Social Sciences

https://github.com/T-Obuchi/AMPR_lasso_matlab

공식 코드

Semi-Analytic Resampling in Lasso

https://github.com/XiaoouPan/ILAMM

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Iteratively Reweighted $\ell_1$-Penalized Robust Regression

https://github.com/YujiaLi1994/snbClust

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A sparse negative binomial mixture model for clustering RNA-seq count data

https://github.com/aalto-ics-kepaco/projse

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Scalable variable selection for two-view learning tasks with projection operators

https://github.com/abess-team/a-splicing-approach-to-best-subset-of-groups-selection

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A Splicing Approach to Best Subset of Groups Selection

https://github.com/abess-team/abess-A-Fast-Best-Subset-Selection-Library-in-Python-and-R

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

https://github.com/acabassi/logistic-regression-for-multi-omic-data

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Two-step penalised logistic regression for multi-omic data with an application to cardiometabolic syndrome

https://github.com/adzafirov/FREETree

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FREEtree: A Tree-based Approach for High Dimensional Longitudinal Data With Correlated Features

https://github.com/agrawalraj/skimfapaper

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The SKIM-FA Kernel: High-Dimensional Variable Selection and Nonlinear Interaction Discovery in Linear Time

https://github.com/albicaron/SparseBCF

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Shrinkage Bayesian Causal Forests for Heterogeneous Treatment Effects Estimation

https://github.com/aliaksah/EMJMCMC2016

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Flexible Bayesian Nonlinear Model Configuration

https://github.com/basisresearch/millipede

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Bayesian Variable Selection in a Million Dimensions

https://github.com/bcjaeger/Imputation-and-CV

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When to Impute? Imputation before and during cross-validation

https://github.com/bdwilliamson/flevr

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Flexible variable selection in the presence of missing data

https://github.com/bdwilliamson/flevr_supplementary

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Flexible variable selection in the presence of missing data

https://github.com/bfava/IllusionOfIllusion

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The Illusion of the Illusion of Sparsity: An exercise in prior sensitivity

https://github.com/btheodorou99/halo_inpatient

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Synthesize High-dimensional Longitudinal Electronic Health Records via Hierarchical Autoregressive Language Model

https://github.com/chicanagram/raman-knockoffs

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Interpretable Classification of Bacterial Raman Spectra with Knockoff Wavelets

https://github.com/corail-research/SeaPearl.jl

공식 코드

Learning a Generic Value-Selection Heuristic Inside a Constraint Programming Solver

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.