Imagen de Portada

Sparse Regression under Correlation and Weak Signals: A Reproducible Benchmark of Classical and Bayesian Methods

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Xiao, Hao
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

GEMSS: A Variational Bayesian Method for Discovering Multiple Sparse Solutions in Classification and Regression Problems
por: Henclová, Kateřina, et al.
Publicado: (2026)

A Weak Signal Learning Dataset and Its Baseline Method
por: Liu, Xianqi, et al.
Publicado: (2025)

Does Weak-to-strong Generalization Happen under Spurious Correlations?
por: Liu, Chenruo, et al.
Publicado: (2025)

Sparse Bayesian Message Passing under Structural Uncertainty
por: Choi, Yoonhyuk, et al.
Publicado: (2026)

Optimal Multitask Linear Regression and Contextual Bandits under Sparse Heterogeneity
por: Huang, Xinmeng, et al.
Publicado: (2023)

Bayesian Regression Markets
por: Falconer, Thomas, et al.
Publicado: (2023)

Bencher: Simple and Reproducible Benchmarking for Black-Box Optimization
por: Papenmeier, Leonard, et al.
Publicado: (2025)

Sparse Attention as Compact Kernel Regression
por: Santos, Saul, et al.
Publicado: (2026)

Sparse Linear Regression and Lattice Problems
por: Gupte, Aparna, et al.
Publicado: (2024)

Bayesian Additive Regression Networks
por: Van Boxel, Danielle
Publicado: (2024)

A Polynomial-time Algorithm for Online Sparse Linear Regression with Improved Regret Bound under Weaker Conditions
por: Li, Junfan, et al.
Publicado: (2025)

Sparse Representer Theorems for Learning in Reproducing Kernel Banach Spaces
por: Wang, Rui, et al.
Publicado: (2023)

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility
por: Gaddipati, Sasi Kiran, et al.
Publicado: (2026)

Bayesian Symbolic Regression for Missing Physics
por: Strouwen, Arno
Publicado: (2026)

Bayesian Active Learning for Censored Regression
por: Hüttel, Frederik Boe, et al.
Publicado: (2024)

Bayesian Kernel Regression for Functional Data
por: Kusaba, Minoru, et al.
Publicado: (2025)

Bayesian Additive Distribution Regression
por: Linero, Antonio R., et al.
Publicado: (2026)

Fast Symbolic Regression Benchmarking
por: Martinek, Viktor
Publicado: (2025)

OKRidge: Scalable Optimal k-Sparse Ridge Regression
por: Liu, Jiachang, et al.
Publicado: (2023)

Sparse Techniques for Regression in Deep Gaussian Processes
por: Latz, Jonas, et al.
Publicado: (2025)

Robust and Sparse Regression in GLM by Stochastic Optimization
por: Kawashima, Takayuki, et al.
Publicado: (2018)

Bayesian Symbolic Regression via Posterior Sampling
por: Bomarito, Geoffrey F., et al.
Publicado: (2025)

Total robustness in Bayesian Nonlinear Regression
por: Chen, Mengqi, et al.
Publicado: (2025)

Horseshoe Prior Bayesian Quantile Regression
por: Kohns, David, et al.
Publicado: (2020)

Causal Representation Learning on High-Dimensional Data: Benchmarks, Reproducibility, and Evaluation Metrics
por: Sadeghi, Alireza, et al.
Publicado: (2026)

A Master Class on Reproducibility: A Student Hackathon on Advanced MRI Reconstruction Methods
por: Felsner, Lina, et al.
Publicado: (2026)

Hinge Regression Tree: A Newton Method for Oblique Regression Tree Splitting
por: Li, Hongyi, et al.
Publicado: (2026)

EDALearn: A Comprehensive RTL-to-Signoff EDA Benchmark for Democratized and Reproducible ML for EDA Research
por: Pan, Jingyu, et al.
Publicado: (2023)

Learning under Distributional Drift: Prequential Reproducibility as an Intrinsic Statistical Resource
por: Zaichyk, Sofiya
Publicado: (2025)

High-Order Tensor Regression in Sparse Convolutional Neural Networks
por: Algarte, Roberto Dias
Publicado: (2025)

Sparse Max-Affine Regression
por: Kanj, Haitham, et al.
Publicado: (2024)

Quantum Kernel Methods under Scrutiny: A Benchmarking Study
por: Schnabel, Jan, et al.
Publicado: (2024)

The Elusive Pursuit of Reproducing PATE-GAN: Benchmarking, Auditing, Debugging
por: Ganev, Georgi, et al.
Publicado: (2024)

Iterative Reweighted Framework Based Algorithms for Sparse Linear Regression with Generalized Elastic Net Penalty
por: Ding, Yanyun, et al.
Publicado: (2024)

Bayesian Additive Regression Trees for functional ANOVA model
por: Park, Seokhun, et al.
Publicado: (2025)

Generalization Certificates for Adversarially Robust Bayesian Linear Regression
por: Sabanayagam, Mahalakshmi, et al.
Publicado: (2025)

Co-data Learning for Bayesian Additive Regression Trees
por: Goedhart, Jeroen M., et al.
Publicado: (2023)

Very fast Bayesian Additive Regression Trees on GPU
por: Petrillo, Giacomo
Publicado: (2024)

On the Gaussian process limit of Bayesian Additive Regression Trees
por: Petrillo, Giacomo
Publicado: (2024)

AdapDISCOM: An Adaptive Sparse Regression Method for High-Dimensional Multimodal Data With Block-Wise Missingness and Measurement Errors
por: Baldé, Maimouna, et al.
Publicado: (2025)