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Regression

5,004 papers

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Papers

Least Squares Revisited: Scalable Approaches for Multi-class Prediction ICML 2014
Alternating Minimization for Mixed Linear Regression ICML 2014
The Falling Factorial Basis and Its Statistical Applications ICML 2014
Coupled Group Lasso for Web-Scale CTR Prediction in Display Advertising ICML 2014
Efficient Algorithms for Robust One-bit Compressive Sensing ICML 2014
Hard-Margin Active Linear Regression ICML 2014
Robust Inverse Covariance Estimation under Noisy Measurements ICML 2014
Optimal Mean Robust Principal Component Analysis ICML 2014
Robust and Efficient Kernel Hyperparameter Paths with Guarantees ICML 2014
Memory and Computation Efficient PCA via Very Sparse Random Projections ICML 2014
Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors ICML 2014
Sample-based approximate regularization ICML 2014
GEV-Canonical Regression for Accurate Binary Class Probability Estimation when One Class is Rare ICML 2014
Convex vs Non-Convex Estimators for Regression and Sparse Estimation: the Mean Squared Error Properties of ARD and GLasso JMLR 2014
Early Stopping and Non-parametric Regression: An Optimal Data-dependent Stopping Rule JMLR 2014
The FASTCLIME Package for Linear Programming and Large-Scale Precision Matrix Estimation in R JMLR 2014
Link Prediction in Graphs with Autoregressive Features JMLR 2014
Adaptive Minimax Regression Estimation over Sparse $\ell_q$-Hulls JMLR 2014
Expectation Propagation for Neural Networks with Sparsity-Promoting Priors JMLR 2014
Pattern Alternating Maximization Algorithm for Missing Data in High-Dimensional Problems JMLR 2014
Efficient and Accurate Methods for Updating Generalized Linear Models with Multiple Feature Additions JMLR 2014
Optimality of Graphlet Screening in High Dimensional Variable Selection JMLR 2014
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression JMLR 2014
ooDACE Toolbox: A Flexible Object-Oriented Kriging Implementation JMLR 2014
The Gesture Recognition Toolkit JMLR 2014