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

Search Ranking – tech-at-instacart

Calibrating CTR Prediction with Transfer Learning in Instacart Ads, by Zhenbang Chen

Experimentation in a Ridesharing Marketplace, by Nicholas Chamandy

David Vengerov – Medium

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

Item2Vec with Metadata: incorporating side-information in item embeddings, by Manohar Sai Alapati

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

David Vengerov – Medium

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

Dynamic Embedding-based Retrieval for Personalized Item Recommendations at Instacart

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

Tejaswi Tenneti on LinkedIn: Griffin: How Instacart's ML Platform Tripled ML Applications in a year

Artur Niederfahrenhorst (@ArturNiederfah1) / X

Haixun Wang on LinkedIn: Using Contextual Bandit models in large action spaces at Instacart