Cover Image

Online Estimation with Rolling Validation: Adaptive Nonparametric Estimation with Streaming Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Tianyu, Lei, Jing
Format:	Preprint
Published:	2023
Subjects:	Statistics Theory Methodology Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bootstrapping the Cross-Validation Estimate
by: Cai, Bryan, et al.
Published: (2023)

Model-free Estimation of Latent Structure via Multiscale Nonparametric Maximum Likelihood
by: Aragam, Bryon, et al.
Published: (2024)

Winners with Confidence: Discrete Argmin Inference with an Application to Model Selection
by: Zhang, Tianyu, et al.
Published: (2024)

SGD with Dependent Data: Optimal Estimation, Regret, and Inference
by: Shen, Yinan, et al.
Published: (2026)

Adaptive and Stratified Subsampling for High-Dimensional Robust Estimation
by: Mittal, Prateek, et al.
Published: (2024)

Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online Learning
by: Shen, Ye, et al.
Published: (2021)

Optimal and Structure-Adaptive CATE Estimation with Kernel Ridge Regression
by: Kim, Seok-Jin
Published: (2026)

Design Stability in Adaptive Experiments: Implications for Treatment Effect Estimation
by: Sengupta, Saikat, et al.
Published: (2025)

Estimation of Treatment Effects in Extreme and Unobserved Data
by: Tan, Jiyuan, et al.
Published: (2025)

Adaptive Off-Policy Inference for M-Estimators Under Model Misspecification
by: Leiner, James, et al.
Published: (2025)

Optimal Demixing of Nonparametric Densities
by: Fan, Jianqing, et al.
Published: (2026)

CARE: Large Precision Matrix Estimation for Compositional Data
by: Zhang, Shucong, et al.
Published: (2023)

Treatment Effect Estimation with Observational Network Data using Machine Learning
by: Emmenegger, Corinne, et al.
Published: (2022)

Generalized Grade-of-Membership Estimation for High-dimensional Locally Dependent Data
by: Chen, Ling, et al.
Published: (2024)

Adaptive Estimation and Inference in Semi-parametric Heterogeneous Clustered Multitask Learning via Neyman Orthogonality
by: Chen, Hanxiao, et al.
Published: (2026)

Extrapolation-Aware Nonparametric Statistical Inference
by: Pfister, Niklas, et al.
Published: (2024)

Transfer Learning for Causal Effect Estimation
by: Wei, Song, et al.
Published: (2023)

Rolled Gaussian process models for curves on manifolds
by: Preston, Simon, et al.
Published: (2025)

Transfer Learning for Nonparametric Contextual Dynamic Pricing
by: Wang, Fan, et al.
Published: (2025)

Active Subsampling for Measurement-Constrained M-Estimation of Individualized Thresholds with High-Dimensional Data
by: Duan, Jingyi, et al.
Published: (2024)

Nonparametric Instrumental Variable Inference with Many Weak Instruments
by: van der Laan, Lars, et al.
Published: (2025)

Empirical Error Estimates for Graph Sparsification
by: Wang, Siyao, et al.
Published: (2025)

Automatic Debiased Machine Learning for Smooth Functionals of Nonparametric M-Estimands
by: van der Laan, Lars, et al.
Published: (2025)

The Fundamental Limits of Structure-Agnostic Functional Estimation
by: Balakrishnan, Sivaraman, et al.
Published: (2023)

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

Direct Doubly Robust Estimation of Conditional Quantile Contrasts
by: Givens, Josh, et al.
Published: (2026)

Direct Bias-Correction Term Estimation for Average Treatment Effect Estimation
by: Kato, Masahiro
Published: (2025)

Combining Experimental and Observational Data for Identification and Estimation of Long-Term Causal Effects
by: Ghassami, AmirEmad, et al.
Published: (2022)

Smaller Confidence Intervals From IPW Estimators via Data-Dependent Coarsening
by: Kalavasis, Alkis, et al.
Published: (2024)

Conditional Distributional Treatment Effects: Doubly Robust Estimation and Testing
by: Jain, Saksham, et al.
Published: (2026)

Globally-Optimal Greedy Experiment Selection for Active Sequential Estimation
by: Li, Xiaoou, et al.
Published: (2024)

Statistical and Computational Efficiency for Smooth Tensor Estimation with Unknown Permutations
by: Lee, Chanwoo, et al.
Published: (2021)

Adaptive Projected Two-Sample Comparisons for Single-Cell Gene Expression Data
by: Zhang, Tianyu, et al.
Published: (2024)

Optimal Estimation of Shared Singular Subspaces across Multiple Noisy Matrices
by: Ma, Zhengchi, et al.
Published: (2024)

Pseudo-Observations and Super Learner for the Estimation of the Restricted Mean Survival Time
by: Cwiling, Ariane, et al.
Published: (2024)

Estimating the Number of Components in Finite Mixture Models via Variational Approximation
by: Wang, Chenyang, et al.
Published: (2024)

Enhancing Signal Proportion Estimation Through Leveraging Arbitrary Covariance Structures
by: Bai, Jingtian, et al.
Published: (2025)

Double Cross-fit Doubly Robust Estimators: Beyond Series Regression
by: McClean, Alec, et al.
Published: (2024)

Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression
by: Tan, Kai, et al.
Published: (2024)

Asymptotic Behavior of Adversarial Training Estimator under $\ell_\infty$-Perturbation
by: Xie, Yiling, et al.
Published: (2024)