robust regression - Robuta Search

https://arxiv.org/abs/2604.04228 [2604.04228] Robust Regression with Adaptive Contamination in Response: Optimal Rates and... Abstract page for arXiv paper 2604.04228: Robust Regression with Adaptive Contamination in Response: Optimal Rates and Computational Barriers robust regression https://arxiv.org/abs/1909.04990 [1909.04990] Robust Regression with Compositional Covariates Abstract page for arXiv paper 1909.04990: Robust Regression with Compositional Covariates robust regression 1909 04990 compositional covariates https://openreview.net/forum?id=iJkskCUl2f High-dimensional robust regression under heavy-tailed data: Asymptotics and Universality |... We investigate the high-dimensional properties of robust regression estimators in the presence of heavy-tailed contamination of both the covariates and... high dimensional robust regression heavy tailed https://openreview.net/forum?id=HHgd65xDov Mixed-Feature Logistic Regression Robust to Distribution Shifts | OpenReview Logistic regression models are widely used in the social and behavioral sciences and in high-stakes domains, due to their simplicity and interpretability... logistic regression mixed feature robust distribution https://ideas.repec.org/p/ehl/lserod/87685.html The use of prior information in very robust regression for fraud detection Downloadable! Misinvoicing is a major tool in fraud including money laundering. We develop a method of detecting the patterns of outliers that indicate... prior information https://openreview.net/forum?id=CPFpHb3vBm Distributionally Robust Linear Regression With Block Lewis Weights | OpenReview robust linear regression block lewis weights openreview https://ideas.repec.org/a/eee/ecmode/v58y2016icp523-534.html Robust tests for change in intercept and slope in linear regression models with application to... Downloadable (with restrictions)! Financial as well as economic theory have developed models which can be used to evaluate performance of mutual funds and that... https://arxiv.org/abs/2011.12483 [2011.12483] CRACT: Cascaded Regression-Align-Classification for Robust Visual Tracking Abstract page for arXiv paper 2011.12483: CRACT: Cascaded Regression-Align-Classification for Robust Visual Tracking 2011 12483 regression https://arxiv.org/abs/2309.07374v1 [2309.07374v1] Beta quantile regression for robust estimation of uncertainty in the presence of... Abstract page for arXiv paper 2309.07374v1: Beta quantile regression for robust estimation of uncertainty in the presence of outliers https://speakerdeck.com/player/ded4aac185bf4aefb1c87e6b3294a4ae R-SCoRe: Revisiting Scene Coordinate Regression for Robust Large-Scale Visual Localization -... r score https://www.nber.org/papers/t0323 Heteroskedasticity-Robust Standard Errors for Fixed Effects Panel Data Regression | NBER Founded in 1920, the NBER is a private, non-profit, non-partisan organization dedicated to conducting economic research and to disseminating research findings... robust standard errors fixed effects panel data heteroskedasticity https://jmlr.org/papers/v26/23-1583.html Outlier Robust and Sparse Estimation of Linear Regression Coefficients linear regression outlier robust sparse estimation https://openreview.net/forum?id=9ixHtaWLGF Learning Robust XGBoost Ensembles for Regression Tasks | OpenReview Methods to improve the adversarial robustness of tree-based ensemble models for classification tasks have received significant attention in recent years. In... learning robust xgboost ensembles regression https://www.kth.se/eecs/kalender/the-quest-for-robust-model-selection-methods-in-linear-regression-1.1197570?date=2022-10-31&orgdate=2022-09-04&length=1&orglength=119 The Quest for Robust Model Selection Methods in Linear Regression | KTH the quest model selection linear regression robust https://openreview.net/forum?id=2hp6sIBsCDH Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression |... The paper provides the first local superlinear convergence rate analysis of iteratively reweighted least-squares for robust regression with several... https://jmlr.org/papers/v25/22-1233.html On Doubly Robust Inference for Double Machine Learning in Semiparametric Regression machine learning robust inference https://arxiv.org/abs/1604.04516 [1604.04516] Robust adaptive efficient estimation for semi-Markov nonparametric regression models Abstract page for arXiv paper 1604.04516: Robust adaptive efficient estimation for semi-Markov nonparametric regression models https://jmlr.org/papers/v25/23-0982.html From continuous-time formulations to discretization schemes: tensor trains and robust regression... continuous time https://www.ets.org/research/policy_research_reports/publications/article/1977/itbt.html Two Robust Alternatives to Least-Squares Regression alternatives to least squares two robust regression https://openreview.net/forum?id=l22W8PIERH Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls |... Adversarially robust optimization (ARO) has emerged as the *de facto* standard for training models that hedge against adversarial attacks in the test stage.... logistic regression robust via intersecting wasserstein https://ideas.repec.org/p/isu/genres/1832.html Simple Robust Testing of Regression Hypotheses No abstract is available for this item. simple robust testing regression hypotheses