Expected Shapley-Like Scores of Boolean Functions: Complexity and Applications to Probabilistic Databases

Authors

• 1. Pratik Karmakar (CNRS@CREATE Ltd; National University of Singapore)
• 2. Mikaël Monet (Centre National de la Recherche Scientifique; INRIA; Université de Lille)
• 3. Pierre Senellart (Centre National de la Recherche Scientifique; INRIA; Institut Universitaire de France; PSL University; École Normale Supérieure)
• 4. Stéphane Bressan (National University of Singapore)

@inproceedings{karmakar_pods24,
        address = {New York, NY, USA},
        series = {{PODS} '24},
        title = {{Expected Shapley-Like Scores of Boolean Functions: Complexity and Applications to Probabilistic Databases}},
        url = {https://dl.acm.org/doi/10.1145/3651593},
        doi = {10.1145/3651593},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Karmakar, Pratik and Monet, Mikaël and Senellart, Pierre and Bressan, Stéphane},
        year = {2024}
}

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