ridge regression

UniTuebingenCL at SemEval-2020 Task 7: Humor Detection in News Headlines SemEval 2020 WONDER: Weighted One-shot Distributed Ridge Regression in High Dimensions JMLR 2020 A Continuous-Time View of Early Stopping for Least Squares Regression AISTATS 2019 Affine Invariant Covariance Estimation for Heavy-Tailed Distributions COLT 2019 An Exponential Efron-Stein Inequality for L_q Stable Learning Rules ALT 2019 An Online Algorithm for Smoothed Regression and LQR Control AISTATS 2019 A Sharper Generalization Bound for Divide-and-Conquer Ridge Regression AAAI 2019 Causal Regularization NeurIPS 2019 Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction AAAI 2019 Distributionally Robust Optimization and Generalization in Kernel Methods NeurIPS 2019 Fast and Accurate Least-Mean-Squares Solvers NeurIPS 2019 Kernel Truncated Randomized Ridge Regression: Optimal Rates and Low Noise Acceleration NeurIPS 2019 Meta-learning with differentiable closed-form solvers ICLR 2019 Old Techniques in Differentially Private Linear Regression ALT 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 R^d for the sequential linear regression problem with the square loss ALT 2019 An Iterative, Sketching-based Framework for Ridge Regression ICML 2018 A Two-Stage Penalized Least Squares Method for Constructing Large Systems of Structural Equations JMLR 2018 Bandit Online Learning on Graphs via Adaptive Optimization IJCAI 2018 Iterate Averaging as Regularization for Stochastic Gradient Descent COLT 2018 Learning To Learn Around A Common Mean NeurIPS 2018 Ridge Regression and Provable Deterministic Ridge Leverage Score Sampling NeurIPS 2018 Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging JMLR 2018 Subsampling for Ridge Regression via Regularized Volume Sampling AISTATS 2018