robust regression

Wind Prediction under Random Data Corruption (Student Abstract) AAAI 2022 An Alternative Probabilistic Interpretation of the Huber Loss CVPR 2021 Consistent regression when oblivious outliers overwhelm ICML 2021 Query complexity of least absolute deviation regression via robust uniform convergence COLT 2021 Robust Regression for Monocular Depth Estimation ACML 2021 Robust Regression Revisited: Acceleration and Improved Estimation Rates NeurIPS 2021 High Dimensional Robust Sparse Regression AISTATS 2020 Online Robust Regression via SGD on the l1 loss NeurIPS 2020 Robust Learning with the Hilbert-Schmidt Independence Criterion ICML 2020 Robust Regression for Safe Exploration in Control L4DC 2020 Sinkhorn Regression IJCAI 2020 Adaptive Hard Thresholding for Near-optimal Consistent Robust Regression COLT 2019 Dimensionality Reduction for Tukey Regression ICML 2019 Globally-convergent Iteratively Reweighted Least Squares for Robust Regression Problems AISTATS 2019 Globally Optimal Learning for Structured Elliptical Losses NeurIPS 2019 Iterative Least Trimmed Squares for Mixed Linear Regression NeurIPS 2019 List-decodable Linear Regression NeurIPS 2019 Multivariate Distributionally Robust Convex Regression under Absolute Error Loss NeurIPS 2019 Robust Estimation of Derivatives Using Locally Weighted Least Absolute Deviation Regression JMLR 2019 Adversarial Regression with Multiple Learners ICML 2018 An Efficient Pruning Algorithm for Robust Isotonic Regression NeurIPS 2018 A Nonconvex Proximal Splitting Algorithm under Moreau-Yosida Regularization AISTATS 2018 A Robust Learning Approach for Regression Models Based on Distributionally Robust Optimization JMLR 2018 Can We Trust the Bootstrap in High-dimensions? The Case of Linear Models JMLR 2018 Practical Bayesian optimization in the presence of outliers AISTATS 2018