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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

The Cost-free Nature of Optimally Tuning Tikhonov Regularizers and Other Ordered Smoothers ICML 2020
One-shot Distributed Ridge Regression in High Dimensions ICML 2020
Single Point Transductive Prediction ICML 2020
On the Generalization Effects of Linear Transformations in Data Augmentation ICML 2020
HumorAAC at SemEval-2020 Task 7: Assessing the Funniness of Edited News Headlines through Regression and Trump Mentions SEMEVAL 2020
Affine Invariant Covariance Estimation for Heavy-Tailed Distributions COLT 2019
Kernel Truncated Randomized Ridge Regression: Optimal Rates and Low Noise Acceleration NIPS 2019
Distributionally Robust Optimization and Generalization in Kernel Methods NIPS 2019
Overcoming the bottleneck in traditional assessments of verbal memory: Modeling human ratings and classifying clinical group membership NAACL 2019
Towards a Unified Analysis of Random Fourier Features ICML 2019
Uniform regret bounds over $\mathbb{R}^d$ for the sequential linear regression problem with the square loss ALT 2019
Old Techniques in Differentially Private Linear Regression ALT 2019
An Exponential Efron-Stein Inequality for $L_q$ Stable Learning Rules ALT 2019
A Continuous-Time View of Early Stopping for Least Squares Regression AISTATS 2019
An Online Algorithm for Smoothed Regression and LQR Control AISTATS 2019
Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction AAAI 2019
A Sharper Generalization Bound for Divide-and-Conquer Ridge Regression AAAI 2019
Fast and Accurate Least-Mean-Squares Solvers NIPS 2019
Causal Regularization NIPS 2019
Bandit Online Learning on Graphs via Adaptive Optimization IJCAI 2018
Learning To Learn Around A Common Mean NIPS 2018
Ridge Regression and Provable Deterministic Ridge Leverage Score Sampling NIPS 2018
An Iterative, Sketching-based Framework for Ridge Regression ICML 2018
Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging JMLR 2018
Subsampling for Ridge Regression via Regularized Volume Sampling AISTATS 2018