robust statistics

Robust Generalized Method of Moments: A Finite Sample Viewpoint NeurIPS 2022 Robust Kernel Density Estimation with Median-of-Means principle ICML 2022 Robust Sparse Mean Estimation via Sum of Squares COLT 2022 Robust Streaming PCA NeurIPS 2022 Streaming Algorithms for High-Dimensional Robust Statistics ICML 2022 Adversarially Robust Change Point Detection NeurIPS 2021 Approximate Distributionally Robust Nonlinear Optimization with Application to Model Predictive Control: A Functional Approach L4DC 2021 Breaking the Moments Condition Barrier: No-Regret Algorithm for Bandits with Super Heavy-Tailed Payoffs NeurIPS 2021 Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach ICML 2021 Generalization Bounds in the Presence of Outliers: a Median-of-Means Study ICML 2021 List-Decodable Mean Estimation in Nearly-PCA Time NeurIPS 2021 On Proximal Policy Optimization’s Heavy-tailed Gradients ICML 2021 Outlier Impact Characterization for Time Series Data AAAI 2021 Robust hypothesis testing and distribution estimation in Hellinger distance AISTATS 2021 Robust Model Compression Using Deep Hypotheses AAAI 2021 Robustness Guarantees for Mode Estimation with an Application to Bandits AAAI 2021 SPECTRE: defending against backdoor attacks using robust statistics ICML 2021 Statistical Query Lower Bounds for List-Decodable Linear Regression NeurIPS 2021 Taming heavy-tailed features by shrinkage AISTATS 2021 The Many Faces of Adversarial Risk NeurIPS 2021 The Sample Complexity of Robust Covariance Testing COLT 2021 Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference JMLR 2021 Conditional Linear Regression AISTATS 2020 Estimating Principal Components under Adversarial Perturbations COLT 2020 List-Decodable Mean Estimation via Iterative Multi-Filtering NeurIPS 2020