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Regression

4964 directly classified papers

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Papers

Newton-Like Methods for Sparse Inverse Covariance Estimation NIPS 2012
Private Convex Empirical Risk Minimization and High-dimensional Regression COLT 2012
Gradient Weights help Nonparametric Regressors NIPS 2012
Dual-Space Analysis of the Sparse Linear Model NIPS 2012
Multiple Operator-valued Kernel Learning NIPS 2012
Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression NIPS 2012
Link Prediction in Graphs with Autoregressive Features NIPS 2012
Collaborative Gaussian Processes for Preference Learning NIPS 2012
A Polynomial-time Form of Robust Regression NIPS 2012
A Marginalized Particle Gaussian Process Regression NIPS 2012
Matrix reconstruction with the local max norm NIPS 2012
Nonparametric Reduced Rank Regression NIPS 2012
Pointwise Tracking the Optimal Regression Function NIPS 2012
Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation NIPS 2012
A Geometric take on Metric Learning NIPS 2012
Sparsistency of the Edge Lasso over Graphs AISTATS 2012
Nonlinear low-dimensional regression using auxiliary coordinates AISTATS 2012
Robust Multi-task Regression with Grossly Corrupted Observations AISTATS 2012
Projection Retrieval for Classification NIPS 2012
Sparse Prediction with the $k$-Support Norm NIPS 2012
Probabilistic n-Choose-k Models for Classification and Ranking NIPS 2012
Multi-Task Averaging NIPS 2012
Topology Constraints in Graphical Models NIPS 2012
Fused sparsity and robust estimation for linear models with unknown variance NIPS 2012
Ensemble weighted kernel estimators for multivariate entropy estimation NIPS 2012