robust statistics

102 papers

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Co-occurring keywords

outlier detection (318) robust estimation (167) mean estimation (69) heavy-tailed distribution (98) high-dimensional statistics (145) principal component analysis (316) covariance estimation (96) hypothesis testing (254) linear regression (281) subspace recovery (25)

Papers

All-Purpose Mean Estimation over R AAAI 2026

On the Robustness of Bandit Multiple Testing AAAI 2026

On the Robustness of Kernel Goodness-of-Fit Tests JMLR 2025

Harnessing Robust Statistics for Trustworthy AI AAAI 2025

Learning with a linear loss function: excess risk and estimation bounds for ERM, minmax MOM and their regularized versions with applications to robustness in sparse PCA. JMLR 2024

Robust Non-linear Normalization of Heterogeneous Feature Distributions with Adaptive Tanh-Estimators AISTATS 2024

Robust Sparse Regression with Non-Isotropic Designs NIPS 2024

Beyond Catoni: Sharper Rates for Heavy-Tailed and Robust Mean Estimation COLT 2024

Statistical Multicriteria Benchmarking via the GSD-Front NIPS 2024

A Subspace-Constrained Tyler's Estimator and its Applications to Structure from Motion CVPR 2024

Robust SVD Made Easy: A fast and reliable algorithm for large-scale data analysis AISTATS 2024

Certified Adversarial Robustness via Randomized $\alpha$-Smoothing for Regression Models NIPS 2024

MAC Advice for facility location mechanism design NIPS 2024

Efficient List-Decodable Regression using Batches ICML 2023

Robust Mean Estimation Without Moments for Symmetric Distributions NIPS 2023

Huber-robust confidence sequences AISTATS 2023

Statistical Robustness of Empirical Risks in Machine Learning JMLR 2023

Robust covariance estimation with missing values and cell-wise contamination NIPS 2023

A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm NIPS 2023

Robust statistical comparison of random variables with locally varying scale of measurement UAI 2023

Byzantine-Robust Federated Learning with Optimal Statistical Rates AISTATS 2023

Rethinking Backdoor Attacks ICML 2023

Robust Consensus in Ranking Data Analysis: Definitions, Properties and Computational Issues ICML 2023

The Test of Tests: A Framework for Differentially Private Hypothesis Testing ICML 2023

Optimality in Mean Estimation: Beyond Worst-Case, Beyond Sub-Gaussian, and Beyond $1+\alpha$ Moments NIPS 2023