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ridge regression

134 papers

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Also known as

MRR RR

Co-occurring keywords

kernel methods (1096) linear regression (281) lasso regression (61) reproducing kernel hilbert space (334) regret bound (1918) high-dimensional regression (142) implicit regularization (93) least square (100) ordinary least square (15) logistic regression (382)

Papers

Generalized equivalences between subsampling and ridge regularization NIPS 2023
Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws AISTATS 2023
Reward Imputation with Sketching for Contextual Batched Bandits NIPS 2023
Error Bounds for Learning with Vector-Valued Random Features NIPS 2023
Bayes beats Cross Validation: Efficient and Accurate Ridge Regression via Expectation Maximization NIPS 2023
The Implicit Regularization of Momentum Gradient Descent in Overparametrized Models AAAI 2023
Deterministic equivalent and error universality of deep random features learning ICML 2023
High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation NIPS 2022
Hierarchical Shrinkage: Improving the accuracy and interpretability of tree-based models. ICML 2022
Interpolating Predictors in High-Dimensional Factor Regression JMLR 2022
Interpolation and Regularization for Causal Learning NIPS 2022
Dynamic Tensor Product Regression NIPS 2022
Group Meritocratic Fairness in Linear Contextual Bandits NIPS 2022
Kernel interpolation in Sobolev spaces is not consistent in low dimensions COLT 2022
Provably tuning the ElasticNet across instances NIPS 2022
Sketching Algorithms and Lower Bounds for Ridge Regression ICML 2022
Exponential Family Model-Based Reinforcement Learning via Score Matching NIPS 2022
Wind Prediction under Random Data Corruption (Student Abstract) AAAI 2022
Estimating Functionals of the Out-of-Sample Error Distribution in High-Dimensional Ridge Regression AISTATS 2022
Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions NIPS 2022
Asymptotics of Ridge(less) Regression under General Source Condition AISTATS 2021
Uniform Consistency of Cross-Validation Estimators for High-Dimensional Ridge Regression AISTATS 2021
Ridge Regression with Over-parametrized Two-Layer Networks Converge to Ridgelet Spectrum AISTATS 2021
Householder Sketch for Accurate and Accelerated Least-Mean-Squares Solvers ICML 2021
Online Forgetting Process for Linear Regression Models AISTATS 2021