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model selection

454 papers

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Also known as

FMS

Co-occurring keywords

transfer learning (5442) bayesian inference (1904) hyperparameter optimization (405) large language model (12755) kernel methods (1096) regret bound (1918) online learning (1770) support vector machine (976) feature selection (649) benchmark evaluation (1539)

Papers

Fast, Exact Model Selection and Permutation Testing for l2-Regularized Logistic Regression AISTATS 2012
Label Ranking with Partial Abstention based on Thresholded Probabilistic Models NIPS 2012
Oracle inequalities for computationally budgeted model selection COLT 2011
An Asymptotic Behaviour of the Marginal Likelihood for General Markov Models JMLR 2011
Selecting the State-Representation in Reinforcement Learning NIPS 2011
Bagged Structure Learning of Bayesian Network AISTATS 2011
Approximate Model Selection for Large Scale LSSVM ACML 2011
Cross-Domain Object Matching with Model Selection AISTATS 2011
The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel Classifiers NIPS 2011
Hyper-Sparse Optimal Aggregation JMLR 2011
-Norm Multiple Kernel Learning JMLR 2011
Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC NIPS 2011
On U-processes and clustering performance NIPS 2011
Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory JMLR 2010
PAC-Bayesian Model Selection for Reinforcement Learning NIPS 2010
Discriminative Clustering by Regularized Information Maximization NIPS 2010
On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation JMLR 2010
Fast and Scalable Local Kernel Machines JMLR 2010
Model Selection: Beyond the Bayesian/Frequentist Divide JMLR 2010
Bayesian Generalized Kernel Models AISTATS 2010
A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection AISTATS 2010
The LASSO risk: asymptotic results and real world examples NIPS 2010
Extended Bayesian Information Criteria for Gaussian Graphical Models NIPS 2010
Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models NIPS 2010
Measuring model complexity with the prior predictive NIPS 2009