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Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals
Summary: Introduces LEWIS, a causality-based XAI framework using probabilistic counterfactuals to explain black-box decisions from input-output data. Provides provably effective local/global explanations and recourse, outperforming LIME/SHAP on real data.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 6261
- Venue
- SIGMOD
- Year
- 2021
- Pagerank
- 7.8877522e-05
- Overall Rank
- 2,925 | 79.68%
- DOI
-
10.1145/3448016.3458455
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 17 of 17 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 4,875 |
Explainable AI: Foundations, Applications, Opportunities for Data Management Research |
2022 |
SIGMOD |
5.8552996e-05 |
| 5,321 |
XInsight: eXplainable Data Analysis Through The Lens of Causality |
2023 |
SIGMOD |
5.5676564e-05 |
| 5,617 |
HYPER: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach |
2022 |
SIGMOD |
5.4085897e-05 |
| 6,001 |
FACET: Robust Counterfactual Explanation Analytics |
2023 |
SIGMOD |
5.2365238e-05 |
| 6,999 |
Generating Interpretable Data-Based Explanations for Fairness Debugging using Gopher |
2022 |
SIGMOD |
4.8629617e-05 |
| 7,449 |
OTClean: Data Cleaning for Conditional Independence Violations using Optimal Transport |
2024 |
SIGMOD |
4.7224022e-05 |
| 10,101 |
Privacy-preserving and Verifiable Causal Prescriptive Analytics |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,147 |
Causal Explanations for Disparate Trends: Where and Why? |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,213 |
Stress-Testing Causal Claims via Cardinality Repairs |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,438 |
CausalExplain: Causal Explanations of Black-box Models with Training Data Subsets |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,533 |
Understanding the Black Box: A Deep Empirical Dive into Shapley Value Approximations for Tabular Data |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,590 |
Causal DAG Summarization |
2025 |
VLDB |
4.1905499e-05 |
| 10,747 |
Finding Convincing Views to Endorse a Claim |
2025 |
VLDB |
4.1905499e-05 |
| 10,957 |
Counterfactual Explanation at Will, with Zero Privacy Leakage |
2024 |
SIGMOD |
4.1905499e-05 |
| 11,316 |
Augmenting Decision Making via Interactive What-If Analysis |
2022 |
CIDR |
4.1905499e-05 |
| 11,348 |
CFDB: Machine Learning Model Analysis via Databases of CounterFactuals |
2022 |
SIGMOD |
4.1905499e-05 |
| 13,273 |
Demonstration of Generating Explanations for Black-Box Algorithms Using Lewis |
2021 |
VLDB |
- |
Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
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