conftrace_

linear regression

335 papers

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Co-occurring keywords · papers mentioning both

differential privacy (24) feature selection (18) convex optimization (17) ridge regression (16) sample complexity (16) logistic regression (15) stochastic gradient descent (15) gradient descent (14) high-dimensional regression (14) in-context learning (14)

Papers

Selecting Diverse Features via Spectral Regularization NeurIPS 2012 Sparse Features for PCA-Like Linear Regression NeurIPS 2011 Structured Variable Selection with Sparsity-Inducing Norms JMLR 2011 A Dirty Model for Multi-task Learning NeurIPS 2010 A Family of Penalty Functions for Structured Sparsity NeurIPS 2010 Fast Active-set-type Algorithms for l1-regularized Linear Regression AISTATS 2010 Directed Regression NeurIPS 2009 Heterogeneous multitask learning with joint sparsity constraints NeurIPS 2009 Feature Selection Methods for Improving Protein Structure Prediction with Rosetta NeurIPS 2007 Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error JMLR 2006