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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

An Alternative Probabilistic Interpretation of the Huber Loss CVPR 2021
Robust Regression for Monocular Depth Estimation ACML 2021
Query complexity of least absolute deviation regression via robust uniform convergence COLT 2021
Consistent regression when oblivious outliers overwhelm ICML 2021
Robust Regression Revisited: Acceleration and Improved Estimation Rates NIPS 2021
Robust Regression for Safe Exploration in Control L4DC 2020
Robust Learning with the Hilbert-Schmidt Independence Criterion ICML 2020
Online Robust Regression via SGD on the l1 loss NIPS 2020
High Dimensional Robust Sparse Regression AISTATS 2020
Globally Optimal Learning for Structured Elliptical Losses NIPS 2019
Iterative Least Trimmed Squares for Mixed Linear Regression NIPS 2019
Globally-convergent Iteratively Reweighted Least Squares for Robust Regression Problems AISTATS 2019
Multivariate Distributionally Robust Convex Regression under Absolute Error Loss NIPS 2019
Adaptive Hard Thresholding for Near-optimal Consistent Robust Regression COLT 2019
Dimensionality Reduction for Tukey Regression ICML 2019
List-decodable Linear Regression NIPS 2019
Robust Estimation of Derivatives Using Locally Weighted Least Absolute Deviation Regression JMLR 2019
An Efficient Pruning Algorithm for Robust Isotonic Regression NIPS 2018
Practical Bayesian optimization in the presence of outliers AISTATS 2018
A Robust Learning Approach for Regression Models Based on Distributionally Robust Optimization JMLR 2018
A Nonconvex Proximal Splitting Algorithm under Moreau-Yosida Regularization AISTATS 2018
Adversarial Regression with Multiple Learners ICML 2018
Can We Trust the Bootstrap in High-dimensions? The Case of Linear Models JMLR 2018
Regularized Modal Regression with Applications in Cognitive Impairment Prediction NIPS 2017
Low-Rank-Sparse Subspace Representation for Robust Regression CVPR 2017