linear regression

Efficient List-Decodable Regression using Batches ICML 2023 Fast Expectation Propagation for Heteroscedastic, Lasso-Penalized, and Quantile Regression JMLR 2023 Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy AISTATS 2023 Greed is good: correspondence recovery for unlabeled linear regression UAI 2023 Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners NeurIPS 2023 jelenasteam at SemEval-2023 Task 9: Quantification of Intimacy in Multilingual Tweets using Machine Learning Algorithms: A Comparative Study on the MINT Dataset SemEval 2023 Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency NeurIPS 2023 Modular Regression: Improving Linear Models by Incorporating Auxiliary Data JMLR 2023 Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression NeurIPS 2023 New Bounds for Hyperparameter Tuning of Regression Problems Across Instances NeurIPS 2023 Optimal Excess Risk Bounds for Empirical Risk Minimization on p-Norm Linear Regression NeurIPS 2023 Optimal Sparse Recovery with Decision Stumps AAAI 2023 Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression NeurIPS 2023 Provably Auditing Ordinary Least Squares in Low Dimensions ICLR 2023 Regularization properties of adversarially-trained linear regression NeurIPS 2023 Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild CVPR 2023 Robust Algorithms on Adaptive Inputs from Bounded Adversaries ICLR 2023 Robust Linear Regression for General Feature Distribution AISTATS 2023 Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond AISTATS 2023 Sequential Attention for Feature Selection ICLR 2023 Simple Transferability Estimation for Regression Tasks UAI 2023 Sketched Ridgeless Linear Regression: The Role of Downsampling ICML 2023 Template-Based Piecewise Affine Regression L4DC 2023 The Implicit Bias of Benign Overfitting JMLR 2023 The noise level in linear regression with dependent data NeurIPS 2023