robust statistics

List Decodable Subspace Recovery COLT 2020 On Learning Ising Models under Huber's Contamination Model NeurIPS 2020 Reliable Graph Neural Networks via Robust Aggregation NeurIPS 2020 Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization NeurIPS 2020 Robust Density Estimation under Besov IPM Losses NeurIPS 2020 Robust Gaussian Covariance Estimation in Nearly-Matrix Multiplication Time NeurIPS 2020 Robust Persistence Diagrams using Reproducing Kernels NeurIPS 2020 Best Arm Identification for Contaminated Bandits JMLR 2019 Refined Complexity of PCA with Outliers ICML 2019 RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering IJCAI 2019 Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection NeurIPS 2019 Robust Hypothesis Testing Using Wasserstein Uncertainty Sets NeurIPS 2018 Robust Topological Inference: Distance To a Measure and Kernel Distance JMLR 2018 Spectral Signatures in Backdoor Attacks NeurIPS 2018 Estimation of the covariance structure of heavy-tailed distributions NeurIPS 2017 Matrix Completion with Noisy Entries and Outliers JMLR 2017 Robust Gaussian Graphical Model Estimation with Arbitrary Corruption ICML 2017 Robust Joint and Individual Variance Explained CVPR 2017 Robust Survey Aggregation with Student-t Distribution and Sparse Representation IJCAI 2017 Understanding Black-box Predictions via Influence Functions ICML 2017 Stochastic Gradient Methods for Distributionally Robust Optimization with f-divergences NeurIPS 2016 The Robustness of Estimator Composition NeurIPS 2016 Robust Kernel Density Estimation by Scaling and Projection in Hilbert Space NeurIPS 2014 Algorithms and Hardness for Robust Subspace Recovery COLT 2013 Classifier Selection using the Predicate Depth JMLR 2013