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robust estimation

184 papers

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Co-occurring keywords · papers mentioning both

outlier detection (28) robust statistics (21) heavy-tailed distribution (16) mean estimation (16) high-dimensional statistics (13) linear regression (8) homography estimation (8) covariance estimation (8) sample complexity (8) matrix completion (7)

Papers

Bregman contrastive estimation as a general framework for learning unnormalized models: Efficiency, robustness and optimal noise UAI 2026 OursFed: Provable Group Fairness-Aware Federated Learning Against Distrust and Fragility AAAI 2026 RVO-MIS: Robust Visual Odometry for Minimally Invasive Surgery MIDL 2026 Differentially Private Multivariate Medians JMLR 2025 Heavy-tailed Estimation is Easier than Adversarial Contamination COLT 2025 Optimal Robust Estimation under Local and Global Corruptions: Stronger Adversary and Smaller Error COLT 2025 Outlier Robust and Sparse Estimation of Linear Regression Coefficients JMLR 2025 Provably-Safe, Online System Identification RSS 2025 Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport ICLR 2025 Robust Estimation in metric spaces: Achieving Exponential Concentration with a Fréchet Median AISTATS 2025 Robust Score Matching AISTATS 2025 SAC-GNC: SAmple Consensus for adaptive Graduated Non-Convexity ICCV 2025 Automatic Outlier Rectification via Optimal Transport NeurIPS 2024 Beyond Catoni: Sharper Rates for Heavy-Tailed and Robust Mean Estimation COLT 2024 ByMI: Byzantine Machine Identification with False Discovery Rate Control ICML 2024 Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption AAAI 2024 Multiple-output composite quantile regression through an optimal transport lens COLT 2024 PARSAC: Accelerating Robust Multi-Model Fitting with Parallel Sample Consensus AAAI 2024 Private Edge Density Estimation for Random Graphs: Optimal, Efficient and Robust NeurIPS 2024 Regroup Median Loss for Combating Label Noise AAAI 2024 Robust Distribution Learning with Local and Global Adversarial Corruptions (extended abstract) COLT 2024 Robust Mixture Learning when Outliers Overwhelm Small Groups NeurIPS 2024 Robust variance-regularized risk minimization with concomitant scaling AISTATS 2024 ROME: Robust Multi-Modal Density Estimator IJCAI 2024 Universally Instance-Optimal Mechanisms for Private Statistical Estimation COLT 2024