model selection

Discrete MDL Predicts in Total Variation NeurIPS 2009 Evolutionary Model Type Selection for Global Surrogate Modeling JMLR 2009 Measuring model complexity with the prior predictive NeurIPS 2009 Modeling the spacing effect in sequential category learning NeurIPS 2009 Particle Swarm Model Selection JMLR 2009 Sparsistent Learning of Varying-coefficient Models with Structural Changes NeurIPS 2009 An Homotopy Algorithm for the Lasso with Online Observations NeurIPS 2008 Approximations for Binary Gaussian Process Classification JMLR 2008 Model selection and velocity estimation using novel priors for motion patterns NeurIPS 2008 Model Selection for Regression with Continuous Kernel Functions Using the Modulus of Continuity JMLR 2008 Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of \boldmath$\ell_1$-regularized MLE NeurIPS 2008 Model Selection in Kernel Based Regression using the Influence Function JMLR 2008 On Relevant Dimensions in Kernel Feature Spaces JMLR 2008 On the Reliability of Clustering Stability in the Large Sample Regime NeurIPS 2008 Posterior Consistency of the Silverman g-prior in Bayesian Model Choice NeurIPS 2008 Probabilistic Characterization of Random Decision Trees JMLR 2008 SimpleMKL JMLR 2008 Variational Mixture of Gaussian Process Experts NeurIPS 2008 A New Probabilistic Approach in Rank Regression with Optimal Bayesian Partitioning JMLR 2007 Catching Up Faster in Bayesian Model Selection and Model Averaging NeurIPS 2007 Cluster Stability for Finite Samples NeurIPS 2007 Collapsed Variational Inference for HDP NeurIPS 2007 Covariate Shift Adaptation by Importance Weighted Cross Validation JMLR 2007 Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation NeurIPS 2007 On the Representer Theorem and Equivalent Degrees of Freedom of SVR JMLR 2007