Showing 1–20 of 22 results
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Oct 29, 2023Bayes beats Cross Validation: Efficient and Accurate Ridge Regression via Expectation MaximizationMay 11, 2025Improving Random Forests by SmoothingSep 14, 2018Discovering Reliable Dependencies from Data: Hardness and Improved AlgorithmsSep 22, 2017Efficiently Discovering Locally Exceptional yet Globally Representative SubgroupsNov 27, 2023From Prediction to Action: Critical Role of Performance Estimation for Machine-Learning-Driven Materials DiscoveryMay 25, 2017Discovering Reliable Approximate Functional DependenciesJan 26, 2017Identifying Consistent Statements about Numerical Data with Dispersion-Corrected Subgroup DiscoveryJun 26, 2025Interpretable Representation Learning for Additive Rule EnsemblesJan 21, 2021Better Short than Greedy: Interpretable Models through Optimal Rule BoostingOct 23, 2025Layer-to-Layer Knowledge Mixing in Graph Neural Network for Chemical Property PredictionJun 22, 2025GRASP: Grouped Regression with Adaptive Shrinkage PriorsMay 9, 2012Probabilistic Structured PredictorsAug 30, 2019Discovering Reliable Correlations in Categorical DataApr 3, 2021Learning Rules for Materials Properties and FunctionsFeb 24, 2024Orthogonal Gradient Boosting for Simpler Additive Rule EnsemblesJan 3, 2020Relative Flatness and GeneralizationFeb 1, 2024Roadmap on Data-Centric Materials ScienceNov 28, 2019Adaptive Communication Bounds for Distributed Online LearningOct 8, 2018Effective Parallelisation for Machine LearningSep 6, 2020Discovering Reliable Causal Rules