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Personal Insights for Altering Decisions of Tree-based Ensembles over Time

Summary: Framework for actionable recourse when both an individual’s attributes and the deployed classifier evolve over time. For tree ensembles, it combines model explanations, domain adaptation, and constraint databases to efficiently query plans likely to yield future favorable decisions. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12463
Venue
VLDB
Year
2020
Pagerank
5.093636e-05
Overall Rank
11,828 | 18.85%
DOI
10.14778/3380750.3380752

Incoming Non-self Citations Over Time

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Authors

BibTeX Citation

@article{boer_vldb20,
        title = {{Personal Insights for Altering Decisions of Tree-based Ensembles over Time}},
        author = {Boer, Naama and Deutch, Daniel and Frost, Nave and Milo, Tova},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {6},
        pages = {798--811},
        doi = {10.14778/3380750.3380752},
        url = {https://doi.org/10.14778/3380750.3380752},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

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Rank Citing Paper Year Venue Pagerank
11,544 CFDB: Machine Learning Model Analysis via Databases of CounterFactuals 2022 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

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