model selection

Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning NeurIPS 2014 A Widely Applicable Bayesian Information Criterion JMLR 2013 Cluster Analysis: Unsupervised Learning via Supervised Learning with a Non-convex Penalty JMLR 2013 Deep Gaussian Processes AISTATS 2013 Differentially Private Feature Selection via Stability Arguments, and the Robustness of the Lasso COLT 2013 Factorized Asymptotic Bayesian Inference for Latent Feature Models NeurIPS 2013 General Oracle Inequalities for Gibbs Posterior with Application to Ranking COLT 2013 GURLS: A Least Squares Library for Supervised Learning JMLR 2013 Minimal Basis Facility Location for Subspace Segmentation ICCV 2013 Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition NeurIPS 2013 Online Learning with Predictable Sequences COLT 2013 On model selection consistency of penalized M-estimators: a geometric theory NeurIPS 2013 Perspective Motion Segmentation via Collaborative Clustering ICCV 2013 Regularization-Free Principal Curve Estimation JMLR 2013 Sparse Inverse Covariance Estimation with Calibration NeurIPS 2013 Active Comparison of Prediction Models NeurIPS 2012 AIC and BIC based approaches for SVM parameter value estimation with RBF kernels ACML 2012 Consistent Model Selection Criteria on High Dimensions JMLR 2012 Dimensionality Dependent PAC-Bayes Margin Bound NeurIPS 2012 Factorized Asymptotic Bayesian Inference for Mixture Modeling AISTATS 2012 Fast, Exact Model Selection and Permutation Testing for l2-Regularized Logistic Regression AISTATS 2012 Label Ranking with Partial Abstention based on Thresholded Probabilistic Models NeurIPS 2012 On Estimation and Selection for Topic Models AISTATS 2012 Random Utility Theory for Social Choice NeurIPS 2012 Weighted Likelihood Policy Search with Model Selection NeurIPS 2012