Model Selection

Factorized Asymptotic Bayesian Inference for Latent Feature Models NeurIPS 2013 Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition NeurIPS 2013 On Flat versus Hierarchical Classification in Large-Scale Taxonomies NeurIPS 2013 The lasso, persistence, and cross-validation ICML 2013 On Estimation and Selection for Topic Models AISTATS 2012 Weighted Likelihood Policy Search with Model Selection NeurIPS 2012 Extended Bayesian Information Criteria for Gaussian Graphical Models NeurIPS 2010 Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models NeurIPS 2010 Adaptive Design Optimization in Experiments with People NeurIPS 2009 Data-driven calibration of linear estimators with minimal penalties NeurIPS 2009 Measuring model complexity with the prior predictive NeurIPS 2009 Sparsistent Learning of Varying-coefficient Models with Structural Changes NeurIPS 2009 Denoising and Dimension Reduction in Feature Space NeurIPS 2006 PG-means: learning the number of clusters in data NeurIPS 2006