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robust regression

79 papers

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Also known as

LRR

Co-occurring keywords

outlier detection (318) linear regression (281) sparse regression (175) gaussian process (1198) convex optimization (1320) bayesian inference (1904) high-dimensional statistics (145) gaussian process regression (132) adversarial corruption (39) robust linear regression (8)

Papers

Statistically Robust Sparse High-order Interaction Model AAAI 2026
PoseAnchor: Robust Root Position Estimation for 3D Human Pose Estimation ICCV 2025
Linear Hypothesis Testing in High-Dimensional Expected Shortfall Regression with Heavy-Tailed Errors JMLR 2025
Asymptotic Characterisation of the Performance of Robust Linear Regression in the Presence of Outliers AISTATS 2024
Robust Nonparametric Regression under Poisoning Attack AAAI 2024
From continuous-time formulations to discretization schemes: tensor trains and robust regression for BSDEs and parabolic PDEs JMLR 2024
Robust Gaussian Processes via Relevance Pursuit NIPS 2024
Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression NIPS 2024
Outlier-Robust Distributionally Robust Optimization via Unbalanced Optimal Transport NIPS 2024
Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise NIPS 2024
Robust Sparse Regression with Non-Isotropic Designs NIPS 2024
RoMa: Robust Dense Feature Matching CVPR 2024
Robust Linear Regression for General Feature Distribution AISTATS 2023
Robust Gaussian process regression with the trimmed marginal likelihood UAI 2023
On the Convergence of IRLS and Its Variants in Outlier-Robust Estimation CVPR 2023
Corruption-Tolerant Algorithms for Generalized Linear Models AAAI 2023
Imbalanced Mixed Linear Regression NIPS 2023
Robust and Scalable Gaussian Process Regression and Its Applications CVPR 2023
Distribution-Independent Regression for Generalized Linear Models with Oblivious Corruptions COLT 2023
Wind Prediction under Random Data Corruption (Student Abstract) AAAI 2022
Hardness and Algorithms for Robust and Sparse Optimization ICML 2022
Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression NIPS 2022
New Coresets for Projective Clustering and Applications AISTATS 2022
Robust Bayesian Regression via Hard Thresholding NIPS 2022
Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment AAAI 2022