Part 2: Decision making and evaluation metrics

Part 1: Motivation & Causal Modeling

Built with LLMs and TripAdvisor reviews

For my favorite food blog

A classical principle in modern times

Part 2: Prediction models

This post introduces the framework of rejection learning with applications to algorithmic automation problems.

Part 1: Causal Inference

Summary of the MLHC paper

With application to California's anti-smoking program

Exploratory data analysis

Uncovering users' true preferences