Newsletters

A causal inference newsletter News The Causal AI Conference 2023 Two weeks ago, CausalLens hosted one of the most important causal inference conferences, especially in the industry. The full conference is available on YouTube.

A causal inference newsletter News Encouragement Designs and Instrumental Variables for A/B Testing Spotify researchers introduce IV for industry applications, when randomizing the treatment is not possible or desirable, for example because the feature is common knowledge.

A causal inference newsletter News Speeding up HelloFresh’s Bayesian AB Testing PyMC researchers tested different ideas to speed up thousands of concurrent AB tests. First, they decreased model parametrization, and sampling length, leading to marginal speed increases.

A causal inference newsletter News Lars van der Laan Introduces Adaptive Debiased Machine Learning (ADML) ADML performs model selection (e.g. Lasso) on top of a doubly-robust estimator. The paper claims improved efficiency for CATE estimators (among others) in the presence of sparsity, at no bias cost.

A causal inference newsletter News Spotify Releases its Experimentation Platform: Confidence Spotify has released its internal experimentation platform, used for 10+ years to run and evaluate A/B tests at scale. Currently, it is in closed beta, but it promises large-scale performance, usability, flexibility, but also integration with existing A/B testing tools.