Statistical Learning
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Efficient and Effective Optimal Transport-Based Biclustering
Neural Information Processing Systems
In this paper, we leverage optimal transport (OT) which has gained momentum in the machine learning community to propose a novel and scalable biclustering model that generalizes several classical biclustering approaches.
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On the Discrimination Risk of Mean Aggregation Feature Imputation in Graphs
Neural Information Processing Systems
In human networks, nodes belonging to a marginalized group often have a disproportionate rate of unknown or missing features.
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