ridge regression

Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws AISTATS 2023 Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation ICML 2023 The Implicit Regularization of Momentum Gradient Descent in Overparametrized Models AAAI 2023 Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection NeurIPS 2023 ​​What learning algorithm is in-context learning? Investigations with linear models ICLR 2023 Dynamic Tensor Product Regression NeurIPS 2022 Estimating Functionals of the Out-of-Sample Error Distribution in High-Dimensional Ridge Regression AISTATS 2022 Exponential Family Model-Based Reinforcement Learning via Score Matching NeurIPS 2022 Group Meritocratic Fairness in Linear Contextual Bandits NeurIPS 2022 Hierarchical Shrinkage: Improving the accuracy and interpretability of tree-based models. ICML 2022 High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation NeurIPS 2022 Interpolating Predictors in High-Dimensional Factor Regression JMLR 2022 Interpolation and Regularization for Causal Learning NeurIPS 2022 Kernel interpolation in Sobolev spaces is not consistent in low dimensions COLT 2022 Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions NeurIPS 2022 Provably tuning the ElasticNet across instances NeurIPS 2022 Sketching Algorithms and Lower Bounds for Ridge Regression ICML 2022 Wind Prediction under Random Data Corruption (Student Abstract) AAAI 2022 A Deterministic Streaming Sketch for Ridge Regression AISTATS 2021 Asymptotics of Ridge(less) Regression under General Source Condition AISTATS 2021 Asymptotics of Ridge Regression in Convolutional Models ICML 2021 A theory of high dimensional regression with arbitrary correlations between input features and target functions: sample complexity, multiple descent curves and a hierarchy of phase transitions ICML 2021 Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression NeurIPS 2021 Householder Sketch for Accurate and Accelerated Least-Mean-Squares Solvers ICML 2021 In-Database Regression in Input Sparsity Time ICML 2021