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Causal Inference
Beyond A/B Testing: Using Surrogacy and Region-Splits to Measure Long-Term Effects in Marketplaces
Thinking Fast & Slow for a Personalized Notification System
Measure Less to Learn More: Using Fewer, Higher-quality Metrics to Capture What Matters
Trusting the Untestable: Validation and Diagnostics for the Doubly Robust Models
Beyond Winning: Spotify’s Experiments with Learning Framework
How to Accurately Test Significance with Difference in Difference Models
Encouragement Designs and Instrumental Variables for A/B Testing
Experimenting with Machine Learning to Target In-App Messaging
Medium
How to perform an A/B test
Improving Instagram notification management with machine learning and causal inference
A Survey of Causal Inference Applications at Netflix
Interpreting A/B test results: false negatives and power
What is an A/B Test?
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