Tackling Interference Bias with Marketplace Marginal Values [Lyft]

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Snacks Weekly on Data Science

Pan Wu

111 episodes

2 days ago

This podcast is about making data science and machine learning knowledge accessible and less intimidating. Every week, I will handpick one selected industrial tech blog to break it down. We will discuss some key data science concepts and machine learning algorithms, and how they are applied in those real-world applications. Subscribe to the channel and enjoy Snacks Weekly on Data Science!

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Tackling Interference Bias with Marketplace Marginal Values [Lyft]

Snacks Weekly on Data Science

9 minutes 51 seconds

3 months ago

Tackling Interference Bias with Marketplace Marginal Values [Lyft]

In this episode, we explore how Lyft tackles interference bias in marketplace experiments using Marketplace Marginal Values (MMVs). We break down why interference is a natural challenge in two-sided platforms like Lyft, and how their team uses optimization, simulation, and advanced metrics to measure causal effects more reliably.

For more details, check out the original tech blog linked here: https://eng.lyft.com/using-marketplace-marginal-values-to-address-interference-bias-a11aff6e670f