FACET: Robust Counterfactual Explanation Analytics
Summary: FACET is an explanation analytics system for counterfactuals of tree ensembles. It introduces counterfactual regions—robust, outcome-guaranteeing feature ranges—and a compact, high-dimensional index with index-aware queries for near real-time analytics; evaluated on eight datasets, it matches quality with an order-of-magnitude speedup and improves user understanding. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,444 | Locator: Local Stability for Rankings | 2025 | SIGMOD | 4.1945683e-05 |
| 11,008 | MetaStore: Analyzing Deep Learning Meta-Data at Scale | 2024 | VLDB | 4.1945683e-05 |
| 11,107 | Counterfactual Explanation Analytics: Empowering Lay Users to Take Action Against Consequential Automated Decisions | 2024 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6 | The R*-tree: An Efficient and Robust Access Method for Points and Rectangles | 1990 | SIGMOD | 0.0016162015 |
| 129 | The X-tree: An Index Structure for High-Dimensional Data | 1996 | VLDB | 0.0004429571 |
| 354 | Hilbert R-tree: An Improved R-tree Using Fractals | 1994 | VLDB | 0.00026137988 |
| 562 | Query-Aware Locality-Sensitive Hashing for Approximate Nearest Neighbor Search | 2016 | VLDB | 0.00020091752 |
| 2,923 | Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals | 2021 | SIGMOD | 7.8953538e-05 |
| 4,725 | GeCo: Quality Counterfactual Explanations in Real Time | 2021 | VLDB | 5.9697637e-05 |
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