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model selection

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transfer learning (34) hyperparameter optimization (34) bayesian inference (33) large language model (31) regret bound (28) kernel methods (26) online learning (21) hyperparameter tuning (19) support vector machine (19) benchmark evaluation (17)

Papers

Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels JMLR 2002 The Set Covering Machine JMLR 2002 The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces JMLR 2002