model selection

NYTRO: When Subsampling Meets Early Stopping AISTATS 2016 Simultaneous Clustering and Model Selection for Tensor Affinities CVPR 2016 Split LBI: An Iterative Regularization Path with Structural Sparsity NeurIPS 2016 Time series prediction and online learning COLT 2016 Using Kernel Methods and Model Selection for Prediction of Preterm Birth MLHC 2016 Adaptive Online Learning NeurIPS 2015 A New Generalized Error Path Algorithm for Model Selection ICML 2015 Bayesian Active Model Selection with an Application to Automated Audiometry NeurIPS 2015 Combined l1 and Greedy l0 Penalized Least Squares for Linear Model Selection JMLR 2015 Efficient and Robust Automated Machine Learning NeurIPS 2015 Fast Cross-Validation via Sequential Testing JMLR 2015 Information Geometry and Minimum Description Length Networks ICML 2015 Model Selection for Topic Models via Spectral Decomposition AISTATS 2015 Precision-Recall-Gain Curves: PR Analysis Done Right NeurIPS 2015 Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood ICML 2015 Regularization Path of Cross-Validation Error Lower Bounds NeurIPS 2015 Scalable Model Selection for Large-Scale Factorial Relational Models ICML 2015 Sparsistency of \ell_1-Regularized M-Estimators AISTATS 2015 Active Learning for Undirected Graphical Model Selection AISTATS 2014 Agnostic Bayesian Learning of Ensembles ICML 2014 Efficient Approximation of Cross-Validation for Kernel Methods using Bouligand Influence Function ICML 2014 Exact Post Model Selection Inference for Marginal Screening NeurIPS 2014 Fully-Automatic Bayesian Piecewise Sparse Linear Models AISTATS 2014 Median Selection Subset Aggregation for Parallel Inference NeurIPS 2014 SCAMS: Simultaneous Clustering and Model Selection CVPR 2014