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Regression

5,004 papers

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Papers

Computation-Risk Tradeoffs for Covariance-Thresholded Regression ICML 2013
Robust Sparse Regression under Adversarial Corruption ICML 2013
Feature Multi-Selection among Subjective Features ICML 2013
Quantile Regression for Large-scale Applications ICML 2013
Robust Regression on MapReduce ICML 2013
One-Pass AUC Optimization ICML 2013
The lasso, persistence, and cross-validation ICML 2013
Spectral Experts for Estimating Mixtures of Linear Regressions ICML 2013
Distribution to Distribution Regression ICML 2013
Structure Discovery in Nonparametric Regression through Compositional Kernel Search ICML 2013
Smooth Operators ICML 2013
The Bigraphical Lasso ICML 2013
Sparse Single-Index Model JMLR 2013
A Framework for Evaluating Approximation Methods for Gaussian Process Regression JMLR 2013
Sparsity Regret Bounds for Individual Sequences in Online Linear Regression JMLR 2013
Greedy Sparsity-Constrained Optimization JMLR 2013
A Risk Comparison of Ordinary Least Squares vs Ridge Regression JMLR 2013
Nonparametric Sparsity and Regularization JMLR 2013
Random Walk Kernels and Learning Curves for Gaussian Process Regression on Random Graphs JMLR 2013
Cluster Analysis: Unsupervised Learning via Supervised Learning with a Non-convex Penalty JMLR 2013
Generalized Spike-and-Slab Priors for Bayesian Group Feature Selection Using Expectation Propagation JMLR 2013
On the Mutual Nearest Neighbors Estimate in Regression JMLR 2013
Sparse/Robust Estimation and Kalman Smoothing with Nonsmooth Log-Concave Densities: Modeling, Computation, and Theory JMLR 2013
GURLS: A Least Squares Library for Supervised Learning JMLR 2013
Multivariate Convex Regression with Adaptive Partitioning JMLR 2013