linear regression

Overfitting Can Be Harmless for Basis Pursuit, But Only to a Degree NeurIPS 2020 Precise Tradeoffs in Adversarial Training for Linear Regression COLT 2020 Robust Meta-learning for Mixed Linear Regression with Small Batches NeurIPS 2020 Sketching Transformed Matrices with Applications to Natural Language Processing AISTATS 2020 Smoothly Bounding User Contributions in Differential Privacy NeurIPS 2020 The Gradient Complexity of Linear Regression COLT 2020 The Optimal Ridge Penalty for Real-world High-dimensional Data Can Be Zero or Negative due to the Implicit Ridge Regularization JMLR 2020 Tree-projected gradient descent for estimating gradient-sparse parameters on graphs COLT 2020 Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data JMLR 2020 Winnowing with Gradient Descent COLT 2020 Worst-Case Analysis for Randomly Collected Data NeurIPS 2020 Active Regression via Linear-Sample Sparsification COLT 2019 A Sparse Representation-Based Approach to Linear Regression with Partially Shuffled Labels UAI 2019 Attacking Data Transforming Learners at Training Time AAAI 2019 Attribute-efficient learning of monomials over highly-correlated variables ALT 2019 Correcting the bias in least squares regression with volume-rescaled sampling AISTATS 2019 Determinantal Point Processes for Coresets JMLR 2019 Fast, Provably convergent IRLS Algorithm for p-norm Linear Regression NeurIPS 2019 Fast Sparse Group Lasso NeurIPS 2019 Global Convergence of the EM Algorithm for Mixtures of Two Component Linear Regression COLT 2019 List-decodable Linear Regression NeurIPS 2019 Objective Assessment of Social Skills Using Automated Language Analysis for Identification of Schizophrenia and Bipolar Disorder Interspeech 2019 Old Techniques in Differentially Private Linear Regression ALT 2019 On Robustness of Principal Component Regression NeurIPS 2019 Space lower bounds for linear prediction in the streaming model COLT 2019