Cover Image

Nearest-Neighbour Matching on Unbounded Supports and Covariate Shift Transfer

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Viel, Simon
Format:	Preprint
Published:	2026
Subjects:	Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Convergence rate for Nearest Neighbour matching: geometry of the domain and higher-order regularity
by: Viel, Simon, et al.
Published: (2025)

Transfer Learning under Covariate Shift: Local $k$-Nearest Neighbours Regression with Heavy-Tailed Design
by: Zamolodtchikov, Petr, et al.
Published: (2024)

Conformal Prediction Under Generalized Covariate Shift with Posterior Drift
by: Wang, Baozhen, et al.
Published: (2025)

No Eigenvalues Outside the Limiting Support of Generally Correlated and Noncentral Sample Covariance Matrices
by: Zhuang, Zeyan, et al.
Published: (2025)

TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression
by: He, Zelin, et al.
Published: (2024)

Varentropy Estimation via Nearest Neighbor Graphs
by: Leonenko, Nikolai, et al.
Published: (2024)

Nearest Neighbor Matching as Least Squares Density Ratio Estimation and Riesz Regression
by: Kato, Masahiro
Published: (2025)

Tail Bounds for Canonical $U$-Statistics and $U$-Processes with Unbounded Kernels
by: Chakrabortty, Abhishek, et al.
Published: (2025)

Blessings and Curses of Covariate Shifts: Adversarial Learning Dynamics, Directional Convergence, and Equilibria
by: Liang, Tengyuan
Published: (2022)

Nearest-Neighbor Radii under Dependent Sampling
by: Gao, Yuanyuan, et al.
Published: (2026)

Fast and Multiphase Rates for Nearest Neighbor Classifiers
by: Yang, Pengkun, et al.
Published: (2023)

Transfer Learning under Group-Label Shift: A Semiparametric Exponential Tilting Approach
by: Cheng, Manli, et al.
Published: (2025)

Refined Risk Bounds for Unbounded Losses via Transductive Priors
by: Qian, Jian, et al.
Published: (2024)

Transfer Learning with Distance Covariance for Random Forest: Error Bounds and an EHR Application
by: Li, Chenze, et al.
Published: (2025)

Covariate balance under Bayesian decision theory
by: Fumis, André A. F., et al.
Published: (2025)

Nearest-Neighbours Estimators for Conditional Mutual Information
by: Witter, Jake, et al.
Published: (2024)

Phase Transition in Nonparametric Minimax Rates for Covariate Shifts on Approximate Manifolds
by: Wang, Yuyao, et al.
Published: (2025)

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

Estimating Counts Through an Average Rounded to the Nearest Non-negative Integer and its Theoretical & Practical Effects
by: Rivera, Roberto, et al.
Published: (2021)

Parameterization of Copulas and Covariance Decay of Stochastic Processes
by: Pumi, Guilherme, et al.
Published: (2012)

Evaluating and Correcting Performative Effects of Decision Support Systems via Causal Domain Shift
by: Boeken, Philip, et al.
Published: (2024)

Gaussian Process Methods for Covariate-Based Intensity Estimation
by: Dolmeta, Patric, et al.
Published: (2025)

Adaptively-weighted Nearest Neighbors for Matrix Completion
by: Sadhukhan, Tathagata, et al.
Published: (2025)

Nearest-Neighbours Neural Network architecture for efficient sampling of statistical physics models
by: Del Bono, Luca Maria, et al.
Published: (2024)

Optimal Treatment Rules under Missing Predictive Covariates: A Covariate-Balancing Doubly Robust Approach
by: Zhang, Yue, et al.
Published: (2025)

Exact solution for a general FJC polyelectrolyte model with up to Next Nearest Neighbour Interactions
by: Orradre, Javier, et al.
Published: (2024)

Concentration Inequalities for Sample Cross-Covariances
by: Chen, Jiaheng, et al.
Published: (2026)

Optimal Estimation of Structured Covariance Operators
by: Al-Ghattas, Omar, et al.
Published: (2024)

Covariance estimation with direction dependence accuracy
by: Abdalla, Pedro, et al.
Published: (2024)

Covariance Regression with High-Dimensional Predictors
by: He, Yuheng, et al.
Published: (2024)

Covariance as a commutator
by: Meixide, Carlos García
Published: (2025)

Minimax Optimal Estimation of Mean and Covariance Functions with Spectral Regularization
by: Gupta, Naveen, et al.
Published: (2026)

Non-Stationary Covariance Functions for Spatial Data on Linear Networks
by: Alegría, Alfredo
Published: (2026)

Inference for Spiked Eigenstructure under Generalized Covariance and Correlation Models
by: Yin, Yanqing, et al.
Published: (2024)

Optimal Test-Data Piling in HDLSS Classification with Covariance Heterogeneity
by: Kim, Taehyun, et al.
Published: (2022)

Dimension-free Bounds for Covariance Estimation with Tensor-Train Structure
by: Patarusau, Artsiom, et al.
Published: (2025)

Nearest neighbor empirical processes
by: Portier, François
Published: (2021)

High-Dimensional Bernstein Von-Mises Theorems for Covariance and Precision Matrices
by: Sarkar, Partha, et al.
Published: (2023)

Covariance Operator Estimation via Adaptive Thresholding
by: Al-Ghattas, Omar, et al.
Published: (2024)

Direct Bayesian Regression for Distribution-valued Covariates
by: Tang, Bohao, et al.
Published: (2023)