Predictive Precompute with Recurrent Neural Networks. - Hanson Wang; Zehui Wang; Yuanyuan Ma (MLSys, 2020)

Personalization for Web-based Services using Offline Reinforcement Learning. - Pavlos Athanasios Apostolopoulos; Zehui Wang; Hanson Wang; Chad Zhou; Kittipat Virochsiri; Norm Zhou; Igor L. Markov (CoRR, 2021)

Distilling Heterogeneity: From Explanations of Heterogeneous Treatment Effect Models to Interpretable Policies. - Han Wu; Sarah Tan; Weiwei Li 006; Mia Garrard; Adam Obeng; Drew Dimmery; Shaun Singh; Hanson Wang; Daniel R. Jiang; Eytan Bakshy (CoRR, 2021)

Looper: An End-to-End ML Platform for Product Decisions. - Igor L. Markov; Hanson Wang; Nitya S. Kasturi; Shaun Singh; Mia R. Garrard; Yin Huang; Sze Wai Celeste Yuen; Sarah Tran; Zehui Wang; Igor Glotov; Tanvi Gupta; Peng Chen; et al. (KDD, 2022)

Interpretable Personalized Experimentation. - Han Wu; Sarah Tan; Weiwei Li 006; Mia Garrard; Adam Obeng; Drew Dimmery; Shaun Singh; Hanson Wang; Daniel R. Jiang; Eytan Bakshy (KDD, 2022)

Practical Policy Optimization with Personalized Experimentation. - Mia Garrard; Hanson Wang; Ben Letham; Shaun Singh; Abbas Kazerouni; Sarah Tan; Zehui Wang; Yin Huang; Yichun Hu; Chad Zhou; Norm Zhou; Eytan Bakshy (CoRR, 2023)

Personalization for web-based services using offline reinforcement learning. - Pavlos Athanasios Apostolopoulos; Zehui Wang; Hanson Wang; Tenghyu Xu; Chad Zhou; Kittipat Virochsiri; Norm Zhou; Igor L. Markov (Mach. Learn., 2024)