Error estimation and adaptive tuning for unregularized robust M-estimator
Fuente:
arXiv
Saved in:
| Main Authors: | Bellec, Pierre C., Koriyama, Takuya |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Phase transitions for the existence of unregularized M-estimators in single index models
by: Koriyama, Takuya, et al.
Published: (2025)
by: Koriyama, Takuya, et al.
Published: (2025)
Existence of solutions to the nonlinear equations characterizing the precise error of M-estimators
by: Bellec, Pierre C., et al.
Published: (2023)
by: Bellec, Pierre C., et al.
Published: (2023)
Asymptotics of resampling without replacement in robust and logistic regression
by: Bellec, Pierre C., et al.
Published: (2024)
by: Bellec, Pierre C., et al.
Published: (2024)
Derivatives and residual distribution of regularized M-estimators with application to adaptive tuning
by: Bellec, Pierre C, et al.
Published: (2021)
by: Bellec, Pierre C, et al.
Published: (2021)
Precise Asymptotics of Bagging Regularized M-estimators
by: Koriyama, Takuya, et al.
Published: (2024)
by: Koriyama, Takuya, et al.
Published: (2024)
Corrected generalized cross-validation for finite ensembles of penalized estimators
by: Bellec, Pierre C., et al.
Published: (2023)
by: Bellec, Pierre C., et al.
Published: (2023)
Observable adjustments in single-index models for regularized M-estimators
by: Bellec, Pierre C
Published: (2022)
by: Bellec, Pierre C
Published: (2022)
The noise barrier and the large signal bias of the Lasso and other convex estimators
by: Bellec, Pierre C
Published: (2018)
by: Bellec, Pierre C
Published: (2018)
Asymptotic mixed normality of maximum likelihood estimator for Ewens--Pitman partition
by: Koriyama, Takuya, et al.
Published: (2022)
by: Koriyama, Takuya, et al.
Published: (2022)
Asymptotic Inference for Exchangeable Gibbs Partitions
by: Koriyama, Takuya
Published: (2025)
by: Koriyama, Takuya
Published: (2025)
The Lasso error is bounded iff its active set size is bounded away from n in the proportional regime
by: Bellec, Pierre C.
Published: (2025)
by: Bellec, Pierre C.
Published: (2025)
Simultaneous analysis of approximate leave-one-out cross-validation and mean-field inference
by: Bellec, Pierre C
Published: (2025)
by: Bellec, Pierre C
Published: (2025)
Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression
by: Tan, Kai, et al.
Published: (2024)
by: Tan, Kai, et al.
Published: (2024)
Do we need to estimate the variance in robust mean estimation?
by: Sun, Qiang
Published: (2021)
by: Sun, Qiang
Published: (2021)
Uncertainty quantification for iterative algorithms in linear models with application to early stopping
by: Bellec, Pierre C., et al.
Published: (2024)
by: Bellec, Pierre C., et al.
Published: (2024)
Denoising Diffusions with Optimal Transport: Localization, Curvature, and Multi-Scale Complexity
by: Liang, Tengyuan, et al.
Published: (2024)
by: Liang, Tengyuan, et al.
Published: (2024)
Bias robustness of depth estimators in multivariate settings
by: Adrover, Jorge G., et al.
Published: (2025)
by: Adrover, Jorge G., et al.
Published: (2025)
Scale-adaptive and robust intrinsic dimension estimation via optimal neighbourhood identification
by: Di Noia, Antonio, et al.
Published: (2024)
by: Di Noia, Antonio, et al.
Published: (2024)
Nonparametric, tuning-free estimation of S-shaped functions
by: Feng, Oliver Y., et al.
Published: (2021)
by: Feng, Oliver Y., et al.
Published: (2021)
Finite sample properties of parametric MMD estimation: robustness to misspecification and dependence
by: Chérief-Abdellatif, Badr-Eddine, et al.
Published: (2019)
by: Chérief-Abdellatif, Badr-Eddine, et al.
Published: (2019)
Super doubly robust and efficient estimator for informative covariate censoring
by: Zhang, Zhewei, et al.
Published: (2025)
by: Zhang, Zhewei, et al.
Published: (2025)
Doubly robust estimation with functional outcomes missing at random
by: Liu, Xijia, et al.
Published: (2024)
by: Liu, Xijia, et al.
Published: (2024)
Error bounds of Median-of-means estimators with VC-dimension
by: Wang, Yuxuan, et al.
Published: (2024)
by: Wang, Yuxuan, et al.
Published: (2024)
Semiparametric adaptive estimation under informative sampling
by: Morikawa, Kosuke, et al.
Published: (2022)
by: Morikawa, Kosuke, et al.
Published: (2022)
Minimax and adaptive estimation of general linear functionals under sparsity
by: Xie, Jie, et al.
Published: (2025)
by: Xie, Jie, et al.
Published: (2025)
Demystified: double robustness with nuisance parameters estimated at rate n-to-the-1/4
by: Lok, Judith J.
Published: (2024)
by: Lok, Judith J.
Published: (2024)
Distribution free M-estimation
by: Areces, Felipe, et al.
Published: (2025)
by: Areces, Felipe, et al.
Published: (2025)
Quasi-likelihood analysis for adaptive estimation of a degenerate diffusion process
by: Gloter, Arnaud, et al.
Published: (2024)
by: Gloter, Arnaud, et al.
Published: (2024)
Distributed quasi-Newton robust estimation under differential privacy
by: Wang, Chuhan, et al.
Published: (2024)
by: Wang, Chuhan, et al.
Published: (2024)
Surrogate modeling for probability distribution estimation:uniform or adaptive design?
by: Su, Maijia, et al.
Published: (2024)
by: Su, Maijia, et al.
Published: (2024)
Information theoretic limits of robust sub-Gaussian mean estimation under star-shaped constraints
by: Prasadan, Akshay, et al.
Published: (2024)
by: Prasadan, Akshay, et al.
Published: (2024)
Optimal estimation for regression discontinuity design with binary outcomes
by: Ishihara, Takuya, et al.
Published: (2025)
by: Ishihara, Takuya, et al.
Published: (2025)
M-estimation with e-statistics
by: Wang, Hongjian, et al.
Published: (2026)
by: Wang, Hongjian, et al.
Published: (2026)
Improved covariance estimation: optimal robustness and sub-Gaussian guarantees under heavy tails
by: Oliveira, Roberto I., et al.
Published: (2022)
by: Oliveira, Roberto I., et al.
Published: (2022)
Trimmed sample means for robust uniform mean estimation and regression
by: Oliveira, Roberto I., et al.
Published: (2023)
by: Oliveira, Roberto I., et al.
Published: (2023)
Rescuing double robustness: safe estimation under complete misspecification
by: Testa, Lorenzo, et al.
Published: (2025)
by: Testa, Lorenzo, et al.
Published: (2025)
Rate doubly robust estimation for weighted average treatment effects
by: Wang, Yiming, et al.
Published: (2025)
by: Wang, Yiming, et al.
Published: (2025)
Asymptotics of constrained $M$-estimation under convexity
by: Brunel, Victor-Emmanuel
Published: (2025)
by: Brunel, Victor-Emmanuel
Published: (2025)
Semiparametric M-estimation with overparameterized neural networks
by: Yan, Shunxing, et al.
Published: (2025)
by: Yan, Shunxing, et al.
Published: (2025)
On the Symmetry of Limiting Distributions of M-estimators
by: Bhowmick, Arunav, et al.
Published: (2024)
by: Bhowmick, Arunav, et al.
Published: (2024)
Similar Items
-
Phase transitions for the existence of unregularized M-estimators in single index models
by: Koriyama, Takuya, et al.
Published: (2025) -
Existence of solutions to the nonlinear equations characterizing the precise error of M-estimators
by: Bellec, Pierre C., et al.
Published: (2023) -
Asymptotics of resampling without replacement in robust and logistic regression
by: Bellec, Pierre C., et al.
Published: (2024) -
Derivatives and residual distribution of regularized M-estimators with application to adaptive tuning
by: Bellec, Pierre C, et al.
Published: (2021) -
Precise Asymptotics of Bagging Regularized M-estimators
by: Koriyama, Takuya, et al.
Published: (2024)