Criteo Uplift & ITE
Advertising treatment-effect benchmarks and reproduction code for measuring incremental impact.
What the resource contains
- CRITEO-UPLIFTv2 release reference
- Individual treatment-effect data generation resources
- Experiment notebooks for uplift-model comparisons
Potential uses
- Compare uplift estimators
- Study incremental advertising impact
- Reproduce treatment-effect benchmarks
Access & formats
CSV / notebooks. External dependencies. Follow the project’s instructions on GitHub; some resources require external files, registration or approval.
License & reuse
The reviewed repository README does not specify a comprehensive dataset license. Review Criteo release conditions.
Important limitations
This is an adjacent advertising benchmark. External data availability was not tested, and observational prediction is not automatically causal evidence.
Source & attribution
criteo-research — original GitHub project ↗
Documentation reviewed 2026-09-24. Review scope and licensing notes. Suggest a correction.
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