Overview

Robust estimation studies how to recover useful parameters, predictions, or system states when measurements may contain outliers, heavy-tailed noise, adversarial contamination, or distribution shifts. Common approaches include median-of-means and other robust aggregation, M-estimators and trimming, filtering, RANSAC-style consensus, and distributionally robust optimization; they are used in regression, mean and covariance estimation, computer vision, and robotics. Researchers analyze finite-sample error and recovery guarantees, and evaluate methods on settings such as contaminated regression data, geometric matching benchmarks, and sensor-fusion tasks. A central tension is limiting the influence of bad data without sacrificing accuracy on clean data, while also keeping methods computationally practical and able to adapt to changing conditions.

Latest papers

CardsList

84 papers17 papers in the last four weeks, up 70% on the four weeks before. 0.1% of all new papers.

  1. Robust Single-Parameter Point Cloud Registration using Truncated Lp Functions

    Oct 25, 2026Seong Hun Lee, Patrick Vandewalle, Javier CiveraPoint Cloud RegistrationRobust Estimation

  2. A Nonconvex Framework for Joint Sparse Sample Weighting and Parameter Estimation

    Oct 25, 2026Hassan Nojavan, Chul Moon, Miju AhnInstance ReweightingRobust Estimation

  3. State Estimation as In-context Tabular Prediction

    Oct 23, 2026Ayushi Jolotia, Parikshit PareekRobust Estimation

  4. Robust Latent Variable Graphical Models: Exact Recovery and Fundamental Limits

    Oct 19, 2026Chuansen Peng, Xiaojing ShenRobust EstimationGraph Structure Learning

  5. Rarity of Singletons Matters & Supplementary Materials

    Oct 15, 2026Pragatheeswaran Vipulanandan, Kamal Premaratne, Dilip SarkarRare-Event EstimationRobust Estimation

  6. Contractor Filters

    Oct 13, 2026Simon RohouRobot State EstimationRobust Estimation

  7. Ellipsoids from Tangents

    Oct 11, 2026Efrat Dahan, Michael WermanRobust Estimation

  8. RobustLDS: Learning linear dynamical systems under adversarial corruptions

    Oct 8, 2026Aravinda Kanchana Ruwanpathirana, Hemant TyagiSystem IdentificationRobust Estimation

  9. Prediction-powered inference for time series across space

    Oct 6, 2026Shahzar Rizvi, David Burt, Vishwak Srinivasan +3Spatiotemporal ForecastingPrediction-Powered Inference

  10. Robust Local Optimization Done Right

    Oct 5, 2026James Pritts, Kevin KöserRelative Pose EstimationNonconvex Optimization

  11. Robust Ensemble Guidance for Scientific Inverse Problems

    Oct 4, 2026Zixiang Li, Wei Wang, Yunchao Wei +2Diffusion Model GuidanceDiffusion-Based Inverse Problems

  12. Distributionally Robust Survival Models under Subpopulation Shift and Outlier Contamination

    Oct 2, 2026Seonghwi Kim, Sung Ho Jo, Minwoo ChaeSubgroup RobustnessDistribution Shift Robustness

  13. Distributionally robust linear regression through the lens of adversarial training

    Sep 30, 2026Elis Stefansson, David Vävinggren, Antônio H. RibeiroRobust RegressionDistributionally Robust Optimization

  14. Superquadric Primitive Decomposition of 3D point clouds via Geometric-Aware Inlier Refinement

    Sep 28, 2026Alessandro Rinaldi, Edoardo Tedesco, Andrea Ferraris +5Point Cloud UnderstandingRobust Estimation

  15. GeoACE: Geometry-Diverse Anchor-Correction Ensembles for Heterogeneous Treatment Effect Estimation

    Sep 24, 2026Ali Haghpanah Jahromi, Mohammad Taheri, Zohreh AzimifarConditional Average Treatment Effect EstimationCausal Inference

  16. Robustness of Diffusion Models under Distribution Shift

    Sep 23, 2026Wei Luo, Neil K. Chada, Shijie Zhang +1Distribution Shift RobustnessDiffusion Sampling

  17. Sparse Regression Distilled from a Single Robust Fit

    Sep 20, 2026Wooyoung Shin, Seunghwan ParkRobust RegressionLinear Regression

  18. Rotation-Based Subspace Tracking for Robust Kernel PCA on Streaming Data

    Sep 14, 2026Kris Lokere, John FossacecaPrincipal Component AnalysisStreaming Algorithms

  19. Robust Multi-Model Fitting through Learning Neighbor Regions

    Sep 14, 2026Chang Nie, Guangming Wang, Zhe Liu +1Robust Estimation

  20. Frequency Estimation Based on SNR-adaptive Frequency Estimator Under Wide SNR Range

    Sep 7, 2026Hee-Yang Jung, Dong-Hee Paek, Woo-Jin Jung +1Parameter EstimationRobust Estimation

  21. Robust conditional dimension reduction for dissimilarity data

    Sep 5, 2026Xiao Ling, Anh BuiMultidimensional ScalingDimensionality Reduction

  22. Median-of-Means as an Extremal Convex Estimator and a Nonconvex Route to the Trimmed Oracle

    Sep 1, 2026Angshul MajumdarNonconvex OptimizationRobust Mean Estimation

  23. DiffSAC: Diffusion-guided Sampling for Consensus-based Robust Estimation

    Aug 31, 2026Chang Nie, Guangming Wang, Zhe Liu +1Diffusion SamplingRobust Estimation

  24. On the Brittleness of Maximum Likelihood Estimation for Gaussian Process Hyperparameter Optimization

    Aug 13, 2026Tyler R. Johnson, Kian Ben-Jacob, Christopher P. Muller +1Gaussian ProcessesGaussian Process Regression

  25. WRAP: Wasserstein-Robust Adaptive Plug-in for Robot Localization

    Aug 10, 2026Minhyuk Jang, Astghik Hakobyan, Jungjin Lee +2Kalman FilteringRobot Localization