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Regression

5,004 papers

Papers per year

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Papers

Learning Transformation Models for Ranking and Survival Analysis JMLR 2011
Computationally Efficient Convolved Multiple Output Gaussian Processes JMLR 2011
Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets JMLR 2011
Dirichlet Process Mixtures of Generalized Linear Models JMLR 2011
Kernel Regression in the Presence of Correlated Errors JMLR 2011
Information Rates of Nonparametric Gaussian Process Methods JMLR 2011
Multiple Kernel Learning Algorithms JMLR 2011
Union Support Recovery in Multi-task Learning JMLR 2011
Efficient Learning with Partially Observed Attributes JMLR 2011
Group Lasso Estimation of High-dimensional Covariance Matrices JMLR 2011
Robust Gaussian Process Regression with a Student- Likelihood JMLR 2011
A Simpler Approach to Matrix Completion JMLR 2011
Automatic Calibration of Multiple Coplanar Sensors RSS 2011
A Dirty Model for Multi-task Learning NIPS 2010
Relaxed Clipping: A Global Training Method for Robust Regression and Classification NIPS 2010
Decomposing Isotonic Regression for Efficiently Solving Large Problems NIPS 2010
Transduction with Matrix Completion: Three Birds with One Stone NIPS 2010
Guaranteed Rank Minimization via Singular Value Projection NIPS 2010
Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models NIPS 2010
Predictive State Temporal Difference Learning NIPS 2010
Switched Latent Force Models for Movement Segmentation NIPS 2010
Adaptive Multi-Task Lasso: with Application to eQTL Detection NIPS 2010
Exact learning curves for Gaussian process regression on large random graphs NIPS 2010
Scrambled Objects for Least-Squares Regression NIPS 2010
Graph-Valued Regression NIPS 2010