linear regression

Memorize to generalize: on the necessity of interpolation in high dimensional linear regression COLT 2022 (Nearly) Optimal Private Linear Regression for Sub-Gaussian Data via Adaptive Clipping COLT 2022 Near-optimal rate of consistency for linear models with missing values ICML 2022 Number Theory Meets Linguistics: Modelling Noun Pluralisation Across 1497 Languages Using 2-adic Metrics AACL 2022 Online Active Regression ICML 2022 Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference NeurIPS 2022 Parametric Bootstrap for Differentially Private Confidence Intervals AISTATS 2022 Public Data-Assisted Mirror Descent for Private Model Training ICML 2022 Random Mapping Method for Large-Scale Terrain Modeling AAAI 2022 Reports of personal experiences and stories in argumentation: datasets and analysis ACL 2022 Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks AISTATS 2022 Semi-supervised Active Linear Regression NeurIPS 2022 The Implicit Bias of Benign Overfitting COLT 2022 The Power and Limitation of Pretraining-Finetuning for Linear Regression under Covariate Shift NeurIPS 2022 Unbiased estimators for random design regression JMLR 2022 Understanding Benign Overfitting in Gradient-Based Meta Learning NeurIPS 2022 Unraveling Model-Agnostic Meta-Learning via The Adaptation Learning Rate ICLR 2022 Accelerating Distributed SGD for Linear Regression using Iterative Pre-Conditioning L4DC 2021 Acoustic-Prosodic, Lexical and Demographic Cues to Persuasiveness in Competitive Debate Speeches Interspeech 2021 Active Online Learning with Hidden Shifting Domains AISTATS 2021 A Distribution-dependent Analysis of Meta Learning ICML 2021 Adversarially Robust Estimate and Risk Analysis in Linear Regression AISTATS 2021 Analysis of Contextual Voice Changes in Remote Meetings Interspeech 2021 A Theoretical Analysis of Fine-tuning with Linear Teachers NeurIPS 2021 Benign Overfitting of Constant-Stepsize SGD for Linear Regression COLT 2021