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Regression

4964 directly classified papers

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Papers

Variable Selection in High-dimensional Varying-coefficient Models with Global Optimality JMLR 2012
Efficient and direct estimation of a neural subunit model for sensory coding NIPS 2012
Linear Regression With Random Projections JMLR 2012
A Multi-Stage Framework for Dantzig Selector and LASSO JMLR 2012
Multi-task Regression using Minimal Penalties JMLR 2012
Large-scale Linear Support Vector Regression JMLR 2012
Learning Symbolic Representations of Hybrid Dynamical Systems JMLR 2012
Consistent Model Selection Criteria on High Dimensions JMLR 2012
Algorithms for Learning Kernels Based on Centered Alignment JMLR 2012
High-Rank Matrix Completion AISTATS 2012
Multi-Target Regression with Rule Ensembles JMLR 2012
Majorization for CRFs and Latent Likelihoods NIPS 2012
Generic Methods for Optimization-Based Modeling AISTATS 2012
Regression for sets of polynomial equations AISTATS 2012
Multiplicative Forests for Continuous-Time Processes NIPS 2012
Learning with Target Prior NIPS 2012
Marginal Regression For Multitask Learning AISTATS 2012
Joint Estimation of Structured Sparsity and Output Structure in Multiple-Output Regression via Inverse-Covariance Regularization AISTATS 2012
PAC-Bayesian Bound for Gaussian Process Regression and Multiple Kernel Additive Model COLT 2012
Persistent Homology for Learning Densities with Bounded Support NIPS 2012
Random Design Analysis of Ridge Regression COLT 2012
Supervised Learning with Similarity Functions NIPS 2012
Sketch-Based Linear Value Function Approximation NIPS 2012
Accelerated Training for Matrix-norm Regularization: A Boosting Approach NIPS 2012
Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting NIPS 2012