Generalized resilience and robust statistics
From MaRDI portal
Publication:2091838
DOI10.1214/22-AOS2186MaRDI QIDQ2091838
Jiantao Jiao, Jacob Steinhardt, Banghua Zhu
Publication date: 2 November 2022
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1909.08755
robust statisticsminimum distance functionaltotal variation distance perturbationWasserstein distance perturbation
Cites Work
- Unnamed Item
- Unnamed Item
- An Analysis of the Total Least Squares Problem
- A general decision theory for Huber's \(\epsilon\)-contamination model
- Convex analysis and nonlinear optimization. Theory and examples.
- Central limit theorems for empirical measures
- Robust covariance and scatter matrix estimation under Huber's contamination model
- Pathologies of some minimum distance estimators
- The ``automatic robustness of minimum distance functionals
- Robust regression: Asymptotics, conjectures and Monte Carlo
- The influence function and maximum bias of Tukey's median
- Projection estimates of multivariate location
- Robust sub-Gaussian estimation of a mean vector in nearly linear time
- Integral representation theory. Applications to convexity, Banach spaces and potential theory
- Robust regression via mutivariate regression depth
- On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities
- Concentration Inequalities
- Calculus Without Derivatives
- Robustly Learning a Gaussian: Getting Optimal Error, Efficiently
- Robust Estimators in High-Dimensions Without the Computational Intractability
- Resilience: A Criterion for Learning in the Presence of Arbitrary Outliers
- Robust estimation via generalized quasi-gradients
- Learning geometric concepts with nasty noise
- Efficient Algorithms and Lower Bounds for Robust Linear Regression
- The Speed of Mean Glivenko-Cantelli Convergence
- The Kolmogorov-Smirnov Test for Goodness of Fit
- Robust linear regression: optimal rates in polynomial time
This page was built for publication: Generalized resilience and robust statistics
