Uplift Modeling Information Guide

  1. Background to Uplift Modeling
  2. Key Details
  3. Recent Updates
  4. Detailed Analysis
  5. Conclusion

Background to Uplift Modeling

Uplift Modeling - Overview Update
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Key Details

Details Uplift Modelling - throw away your churn model. Ivan Klimuk Guide
Explore the main sources for Uplift Modeling.

Recent Updates

Details Uplift Modeling: From Causal Inference to Personalization - CIKM 2023 Tutorial Guide
Stay updated on Uplift Modeling's latest milestones.

Beyond Propensity: From traditional ML to Uplift Modelling
Beyond Propensity: From traditional ML to Uplift Modelling
Why start using uplift models for more efficient marketing campaigns
Why start using uplift models for more efficient marketing campaigns
Uplift Modeling for Churn Prediction
Uplift Modeling for Churn Prediction
Ensembles & Uplift Modeling - Data Mining With Python
Ensembles & Uplift Modeling - Data Mining With Python
From Prediction to Uplift: Causal Modeling for Better Decisions | Intuit
From Prediction to Uplift: Causal Modeling for Better Decisions | Intuit
Uplift Modeling to Detect Causal Effect | Uplift Modeling &  Causal Inference to Improve Instagram
Uplift Modeling to Detect Causal Effect | Uplift Modeling & Causal Inference to Improve Instagram
The Power of Uplift Modelling
The Power of Uplift Modelling
Uplift Modeling Explained: Who to Target & Who to Ignore
Uplift Modeling Explained: Who to Target & Who to Ignore
Understanding Kuaishou's HMUM Uplift Model
Understanding Kuaishou's HMUM Uplift Model
Uplift Modelling For Retention
Uplift Modelling For Retention
Uplift Modeling in Analytics
Uplift Modeling in Analytics

Detailed Analysis

Data is compiled from public records and verified media reports.

Last Updated: October 19, 2026

Conclusion

Details Dr. Juan Orduz: Introduction to Uplift Modeling Update
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Disclaimer: Disclaimer: All information is compiled from publicly available data, media reports, and analysis. Actual details may vary.

Summary

Speaker:: Dr. Juan Orduz Track: PyData: Machine Learning & Stats In this talk we introduce Given the vast amounts of data that marketers now have on their customers, it's no surprise that many are looking to optimise their ... Data Con LA 2020 Description What and why For more information, see bluecourses.com. 2026 - DAY 2 - ANALYTICS & DATA SCI] Most AI/ML systems in production rely on predictive How do top companies decide who to target — and who to ignore? In this video, we dive deep into the role of an Reading Kuaishou's paper arxiv.org/pdf/2511.18997 Heterogeneous Multi-treatment A short explanation of why, if you use targeting models for customer retention, you should be using Christie Clark Rasmussen of BYU Analytics (MBA 2016) does a mini digest of

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