contamination model

A Quasi-Polynomial Time Mean Estimator Under Mean-Shift Contamination with Unknown Covariance COLT 2026 All-Purpose Mean Estimation over R: Optimal Sub-Gaussianity with Outlier Robustness and Low Moments Performance ICML 2025 On Corruption-Robustness in Performative Reinforcement Learning AAAI 2025 Contamination-source based K-sample clustering JMLR 2024 Tractable and Near-Optimal Adversarial Algorithms for Robust Estimation in Contaminated Gaussian Models JMLR 2023 Adversarially Robust Change Point Detection NeurIPS 2021 Robust Testing and Estimation under Manipulation Attacks ICML 2021 The Sample Complexity of Robust Covariance Testing COLT 2021 On Learning Ising Models under Huber's Contamination Model NeurIPS 2020 On Minimax Optimality of GANs for Robust Mean Estimation AISTATS 2020 Robust Density Estimation under Besov IPM Losses NeurIPS 2020 An Unsupervised Decontamination Procedure For Improving The Reliability Of Human Judgments NeurIPS 2011