Using Contextual Bandit models in large action spaces at Instacart, by David Vengerov

It All Depends. How randomized, controlled experiments…, by Jingjie Xiao

Instacart Anytime: A Data Science Paradigm, by Ji Chen

Lessons Learned: The Journey to Real-Time Machine Learning at Instacart, by Guanghua Shu

Building A Data Science Product in 10 Days, by Houtao Deng

Dynamic Pricing with Contextual Bandits: Learning by Doing, by Massimiliano Costacurta

List: Bandits, Curated by Galkampel

3 Million Instacart Orders, Open Sourced, by Jeremy Stanley

Red Means Stop. Green Means Go: A Look into Quality Assessment in Instacart's Knowledge Graph, by Instacart

tech-at-instacart

Adaptive Products and Contextual Bandits — A New Way of Optimising Websites, by Fedor Parfenov, Expedia Group Technology

Building A Data Science Product in 10 Days, by Houtao Deng

Using Contextual Bandit models in large action spaces at Instacart