mean estimation

Statistical Query Lower Bounds for Learning Truncated Gaussians COLT 2024 A Pretty Fast Algorithm for Adaptive Private Mean Estimation COLT 2023 Fast Optimal Locally Private Mean Estimation via Random Projections NeurIPS 2023 Fast, Sample-Efficient, Affine-Invariant Private Mean and Covariance Estimation for Subgaussian Distributions COLT 2023 Finite-Sample Symmetric Mean Estimation with Fisher Information Rate COLT 2023 Lookahead Diffusion Probabilistic Models for Refining Mean Estimation CVPR 2023 Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression NeurIPS 2023 On the Privacy-Robustness-Utility Trilemma in Distributed Learning ICML 2023 Optimality in Mean Estimation: Beyond Worst-Case, Beyond Sub-Gaussian, and Beyond 1+α Moments NeurIPS 2023 Robust Mean Estimation Without Moments for Symmetric Distributions NeurIPS 2023 Subset-Based Instance Optimality in Private Estimation ICML 2023 A Fourier Approach to Mixture Learning NeurIPS 2022 A Private and Computationally-Efficient Estimator for Unbounded Gaussians COLT 2022 Correlated Quantization for Distributed Mean Estimation and Optimization ICML 2022 FriendlyCore: Practical Differentially Private Aggregation ICML 2022 List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering NeurIPS 2022 Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models NeurIPS 2022 Mean Estimation with User-level Privacy under Data Heterogeneity NeurIPS 2022 New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma NeurIPS 2022 Optimal Algorithms for Mean Estimation under Local Differential Privacy ICML 2022 Optimal Mean Estimation without a Variance COLT 2022 Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions NeurIPS 2022 Polynomial-Time Sum-of-Squares Can Robustly Estimate Mean and Covariance of Gaussians Optimally ALT 2022 Robust Sparse Mean Estimation via Sum of Squares COLT 2022 Streaming Algorithms for High-Dimensional Robust Statistics ICML 2022