mean estimation

69 papers

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Co-occurring keywords

differential privacy (1010) robust statistics (102) robust estimation (167) covariance estimation (96) outlier detection (318) heavy-tailed distribution (98) linear regression (281) local differential privacy (72) high-dimensional statistics (145) stochastic convex optimization (68)

Papers

All-Purpose Mean Estimation over R AAAI 2026

Scalable Decentralized Algorithms for Online Personalized Mean Estimation AAAI 2025

Gaussian Graphical Modelling Without Independence Assumptions for Uncentered Data AAAI 2025

Robust Mixture Learning when Outliers Overwhelm Small Groups NIPS 2024

Automatic Outlier Rectification via Optimal Transport NIPS 2024

A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy NIPS 2024

Differentially Private Optimization with Sparse Gradients NIPS 2024

Provable Mutual Benefits from Federated Learning in Privacy-Sensitive Domains AISTATS 2024

Dimension-free Private Mean Estimation for Anisotropic Distributions NIPS 2024

Locally Private and Robust Multi-Armed Bandits NIPS 2024

Subset-Based Instance Optimality in Private Estimation ICML 2023

Fast Optimal Locally Private Mean Estimation via Random Projections NIPS 2023

Optimality in Mean Estimation: Beyond Worst-Case, Beyond Sub-Gaussian, and Beyond $1+\alpha$ Moments NIPS 2023

Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression NIPS 2023

Fast, Sample-Efficient, Affine-Invariant Private Mean and Covariance Estimation for Subgaussian Distributions COLT 2023

On the Privacy-Robustness-Utility Trilemma in Distributed Learning ICML 2023

A Pretty Fast Algorithm for Adaptive Private Mean Estimation COLT 2023

Robust Mean Estimation Without Moments for Symmetric Distributions NIPS 2023

Finite-Sample Symmetric Mean Estimation with Fisher Information Rate COLT 2023

Lookahead Diffusion Probabilistic Models for Refining Mean Estimation CVPR 2023

Correlated Quantization for Distributed Mean Estimation and Optimization ICML 2022

Tight and Robust Private Mean Estimation with Few Users ICML 2022

Robust Sparse Mean Estimation via Sum of Squares COLT 2022

Optimal Algorithms for Mean Estimation under Local Differential Privacy ICML 2022

Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions NIPS 2022