mean estimation

Tight and Robust Private Mean Estimation with Few Users ICML 2022 Covariance-Aware Private Mean Estimation Without Private Covariance Estimation NeurIPS 2021 Instance-optimal Mean Estimation Under Differential Privacy NeurIPS 2021 Learning with User-Level Privacy NeurIPS 2021 List-Decodable Mean Estimation in Nearly-PCA Time NeurIPS 2021 Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation AAAI 2021 On Robust Mean Estimation under Coordinate-level Corruption ICML 2021 Outlier-Robust Optimal Transport ICML 2021 Robust and differentially private mean estimation NeurIPS 2021 Robust Mean Estimation on Highly Incomplete Data with Arbitrary Outliers AISTATS 2021 A Fast Spectral Algorithm for Mean Estimation with Sub-Gaussian Rates COLT 2020 Breaking the Communication-Privacy-Accuracy Trilemma NeurIPS 2020 CoinPress: Practical Private Mean and Covariance Estimation NeurIPS 2020 Instance-optimality in differential privacy via approximate inverse sensitivity mechanisms NeurIPS 2020 Learning Entangled Single-Sample Distributions via Iterative Trimming AISTATS 2020 Learning Entangled Single-Sample Gaussians in the Subset-of-Signals Model COLT 2020 List Decodable Subspace Recovery COLT 2020 Outlier Robust Mean Estimation with Subgaussian Rates via Stability NeurIPS 2020 Private Mean Estimation of Heavy-Tailed Distributions COLT 2020 Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization NeurIPS 2020 Smoothly Bounding User Contributions in Differential Privacy NeurIPS 2020 Strategyproof Mean Estimation from Multiple-Choice Questions ICML 2020 Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation NeurIPS 2019 Fast Mean Estimation with Sub-Gaussian Rates COLT 2019 How Hard is Robust Mean Estimation? COLT 2019