High-dimensional ridge regression with random features for non-identically distributed data with a variance profile

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Dabo, Issa-Mbenard, Bigot, Jérémie
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Probability Statistics Theory Methodology
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

High-dimensional analysis of ridge regression for non-identically distributed data with a variance profile
di: Bigot, Jérémie, et al.
Pubblicazione: (2024)

A multivariate spatial regression model using signatures
di: Frévent, Camille, et al.
Pubblicazione: (2024)

Data denoising with self consistency, variance maximization, and the Kantorovich dominance
di: Hiew, Joshua Zoen-Git, et al.
Pubblicazione: (2025)

A new approach to locally adaptive polynomial regression
di: Chatterjee, Sabyasachi, et al.
Pubblicazione: (2024)

On the choice of the non-trainable internal weights in random feature maps
di: Mandal, Pinak, et al.
Pubblicazione: (2024)

Low dimensional representation of multi-patient flow cytometry datasets using optimal transport for minimal residual disease detection in leukemia
di: Gachon, Erell, et al.
Pubblicazione: (2024)

Learning dynamical systems with hit-and-run random feature maps
di: Mandal, Pinak, et al.
Pubblicazione: (2025)

Monotone Curve Estimation via Convex Duality
di: Lim, Tongseok, et al.
Pubblicazione: (2025)

Minimax Optimal Estimation of Transport-Growth Pairs in Unbalanced Optimal Transport
di: Ponnoprat, Donlapark, et al.
Pubblicazione: (2026)

Probabilistic Conformal Prediction with Approximate Conditional Validity
di: Plassier, Vincent, et al.
Pubblicazione: (2024)

Combining Evidence Across Filtrations
di: Choe, Yo Joong, et al.
Pubblicazione: (2024)

Information-Theoretic Limits and Strong Consistency on Binary Non-uniform Hypergraph Stochastic Block Models
di: Wang, Hai-Xiao
Pubblicazione: (2023)

The extended Ville's inequality for nonintegrable nonnegative supermartingales
di: Wang, Hongjian, et al.
Pubblicazione: (2023)

Probabilistic Inference and Learning with Stein's Method
di: Liu, Qiang, et al.
Pubblicazione: (2026)

Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion
di: He, Ye, et al.
Pubblicazione: (2024)

Notes on Forré's Notion of Conditional Independence and Causal Calculus for Continuous Variables
di: Chen, Leihao
Pubblicazione: (2026)

High-dimensional Bayesian Tobit regression for censored response with Horseshoe prior
di: Mai, The Tien
Pubblicazione: (2025)

Fréchet random forests for metric space valued regression with non euclidean predictors
di: Capitaine, Louis, et al.
Pubblicazione: (2019)

Complete Causal Identification from Ancestral Graphs under Selection Bias
di: Chen, Leihao, et al.
Pubblicazione: (2026)

Maximum entropy based testing in network models: ERGMs and constrained optimization
di: Ghosh, Subhro, et al.
Pubblicazione: (2026)

Computationally efficient reductions between some statistical models
di: Lou, Mengqi, et al.
Pubblicazione: (2024)

Fusion regression methods with repeated functional data
di: Moindjié, Issam-Ali, et al.
Pubblicazione: (2023)

Dimension-free bounds in high-dimensional linear regression via error-in-operator approach
di: Noskov, Fedor, et al.
Pubblicazione: (2025)

Hierarchical random measures without tables
di: Catalano, Marta, et al.
Pubblicazione: (2025)

Efficient Online Learning in Interacting Particle Systems
di: Sharrock, Louis, et al.
Pubblicazione: (2026)

Optimal Bias-variance Tradeoff in Matrix and Tensor Estimation
di: Kumar, Shivam, et al.
Pubblicazione: (2025)

Weak convergence of predictive distributions
di: Leisen, Fabrizio, et al.
Pubblicazione: (2025)

Anytime-valid t-tests and confidence sequences for Gaussian means with unknown variance
di: Wang, Hongjian, et al.
Pubblicazione: (2023)

Identifiability and improper solutions in the probabilistic partial least squares regression with unique variance
di: Arai, Takashi
Pubblicazione: (2025)

Series ridge regression for spatial data on $\mathbb{R}^d$
di: Kurisu, Daisuke, et al.
Pubblicazione: (2024)

New generalized unit distributions based on order statistics
di: Attia, Iman Mohamed
Pubblicazione: (2025)

Outrigger local polynomial regression
di: Young, Elliot H., et al.
Pubblicazione: (2026)

Edgeworth corrections for the spiked eigenvalues of non-Gaussian sample covariance matrices with applications
di: Wei, Yashi, et al.
Pubblicazione: (2025)

Reviving pseudo-inverses: Asymptotic properties of large dimensional Moore-Penrose and Ridge-type inverses with applications
di: Bodnar, Taras, et al.
Pubblicazione: (2024)

Estimating large causal polytrees from small samples
di: Chatterjee, Sourav, et al.
Pubblicazione: (2022)

Optimal estimators of cross-partial derivatives and surrogates of functions
di: Lamboni, Matieyendou
Pubblicazione: (2024)

Optimal Sparse Singular Value Decomposition for High-dimensional High-order Data
di: Zhang, Anru, et al.
Pubblicazione: (2018)

Gaussian random field's anisotropy using excursion sets
di: Azaïs, Jean-Marc, et al.
Pubblicazione: (2025)

Augmented transfer regression learning for completely missing covariates
di: Zhao, Huali, et al.
Pubblicazione: (2026)

Transfer Learning for High-dimensional Quantile Regression with Distribution Shift
di: Bai, Ruiqi, et al.
Pubblicazione: (2024)