Paper Citation Record · LEDGER

Adaptive deep nonparametric regression from dependent data under covariate shift

As of 15 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2607.20309.

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2607.20309 v1

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Outbound references

Observation e1b941ff-f3a5-4108-819c-6f8f62eca55d · outbound

This paper cites Minimax optimality of deep neural networks on dependent data via pac-bayes bounds.

Adaptive deep nonparametric regression from dependent data under covariate shift Minimax optimality of deep neural networks on dependent data via pac-bayes bounds

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This paper cites On deep learning as a remedy for the curse of dimensionality in nonparametric regression.

Adaptive deep nonparametric regression from dependent data under covariate shift On deep learning as a remedy for the curse of dimensionality in nonparametric regression

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Adaptive deep nonparametric regression from dependent data under covariate shift l1-penalized quantile regression in high-dimensional sparse models

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This paper cites Geometric ergodicity of nonlinear autoregressive models with changing conditional variances.

Adaptive deep nonparametric regression from dependent data under covariate shift Geometric ergodicity of nonlinear autoregressive models with changing conditional variances

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Adaptive deep nonparametric regression from dependent data under covariate shift Learning bounds for importance weighting

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Adaptive deep nonparametric regression from dependent data under covariate shift Variable selection and estimation with the seamless-l 0 penalty

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Adaptive deep nonparametric regression from dependent data under covariate shift Unresolved cited work

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Adaptive deep nonparametric regression from dependent data under covariate shift Unresolved cited work

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This paper cites How do noise tails impact on deep relu networks? The Annals of Statistics 52 , 4 (2024), 1845--1871.

Adaptive deep nonparametric regression from dependent data under covariate shift How do noise tails impact on deep relu networks? The Annals of Statistics 52 , 4 (2024), 1845--1871

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Adaptive deep nonparametric regression from dependent data under covariate shift Variable selection via nonconcave penalized likelihood and its oracle properties

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Adaptive deep nonparametric regression from dependent data under covariate shift Deep nonparametric quantile regression under covariate shift

Reference 11

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This paper cites Towards a unified analysis of kernel-based methods under covariate shift.

Adaptive deep nonparametric regression from dependent data under covariate shift Towards a unified analysis of kernel-based methods under covariate shift

Reference 12

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This paper cites Domain adaptation for medical image analysis: a survey.

Adaptive deep nonparametric regression from dependent data under covariate shift Domain adaptation for medical image analysis: a survey

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Adaptive deep nonparametric regression from dependent data under covariate shift Unresolved cited work

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This paper cites A bernstein-type inequality for some mixing processes and dynamical systems with an application to learning.

Adaptive deep nonparametric regression from dependent data under covariate shift A bernstein-type inequality for some mixing processes and dynamical systems with an application to learning

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Adaptive deep nonparametric regression from dependent data under covariate shift Deep neural networks learn non-smooth functions effectively

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Adaptive deep nonparametric regression from dependent data under covariate shift Advantage of deep neural networks for estimating functions with singularity on hypersurfaces

Reference 17

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This paper cites Deep Transfer Learning: Model Framework and Error Analysis.

Adaptive deep nonparametric regression from dependent data under covariate shift Deep Transfer Learning: Model Framework and Error Analysis

Reference 18

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This paper cites Deep nonparametric regression on approximate manifolds: Nonasymptotic error bounds with polynomial prefactors.

Adaptive deep nonparametric regression from dependent data under covariate shift Deep nonparametric regression on approximate manifolds: Nonasymptotic error bounds with polynomial prefactors

Reference 19

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This paper cites Excess risk bound for deep learning under weak dependence.

Adaptive deep nonparametric regression from dependent data under covariate shift Excess risk bound for deep learning under weak dependence

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Adaptive deep nonparametric regression from dependent data under covariate shift Deep learning from strongly mixing observations: Sparse-penalized regularization and minimax optimality

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Adaptive deep nonparametric regression from dependent data under covariate shift A general framework for deep learning

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Adaptive deep nonparametric regression from dependent data under covariate shift Robust deep learning from weakly dependent data

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Adaptive deep nonparametric regression from dependent data under covariate shift Fast convergence rates of deep neural networks for classification

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Adaptive deep nonparametric regression from dependent data under covariate shift W., Sagawa, S., Marklund, H., Xie, S

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Adaptive deep nonparametric regression from dependent data under covariate shift On the rate of convergence of a deep recurrent neural network estimate in a regression problem with dependent data

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Adaptive deep nonparametric regression from dependent data under covariate shift Adaptive deep learning for nonlinear time series models

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Adaptive deep nonparametric regression from dependent data under covariate shift Unresolved cited work

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Adaptive deep nonparametric regression from dependent data under covariate shift Theoretical analysis of deep neural networks for temporally dependent observations

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Adaptive deep nonparametric regression from dependent data under covariate shift H., and Chatterjee, S

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Adaptive deep nonparametric regression from dependent data under covariate shift Exponential inequalities and functional estimations for weak dependent data: applications to dynamical systems

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Adaptive deep nonparametric regression from dependent data under covariate shift Bernstein inequality and moderate deviations under strong mixing conditions

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Adaptive deep nonparametric regression from dependent data under covariate shift Smooth function approximation by deep neural networks with general activation functions

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Adaptive deep nonparametric regression from dependent data under covariate shift Nonconvex sparse regularization for deep neural networks and its optimality

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Adaptive deep nonparametric regression from dependent data under covariate shift Optimal approximation of piecewise smooth functions using deep relu neural networks

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Adaptive deep nonparametric regression from dependent data under covariate shift W., Cannings, T

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Adaptive deep nonparametric regression from dependent data under covariate shift Concentration of measure inequalities for markov chains and -mixing processes

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Adaptive deep nonparametric regression from dependent data under covariate shift Nonparametric regression using deep neural networks with relu activation function

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Adaptive deep nonparametric regression from dependent data under covariate shift Local convergence rates of the nonparametric least squares estimator with applications to transfer learning

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Adaptive deep nonparametric regression from dependent data under covariate shift L., and Huang, J

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Adaptive deep nonparametric regression from dependent data under covariate shift Measuring robustness to natural distribution shifts in image classification

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Adaptive deep nonparametric regression from dependent data under covariate shift Optimal Kernel Quantile Learning with Random Features

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Adaptive deep nonparametric regression from dependent data under covariate shift Deep Regression for Repeated Measurements under Covariate Shift

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Adaptive deep nonparametric regression from dependent data under covariate shift A minimax theory of nonparametric regression under covariate shift

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Adaptive deep nonparametric regression from dependent data under covariate shift Nearly unbiased variable selection under minimax concave penalty

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Adaptive deep nonparametric regression from dependent data under covariate shift Analysis of multi-stage convex relaxation for sparse regularization

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Adaptive deep nonparametric regression from dependent data under covariate shift Effective number of observations and unbiased estimators of variance for autocorrelated data-an overview

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