Provable Data Clustering via Innovation Search. - Weiwei Li 006; Mostafa Rahmani; Ping Li 001 (ACSCC, 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)

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)

Achieving a Better Tradeoff in Multi-stage Recommender Systems through Personalization. - Ariel Evnine; Stratis Ioannidis; Dimitris Kalimeris; Shankar Kalyanaraman; Weiwei Li 006; Israel Nir; Wei Sun; Udi Weinsberg (KDD, 2024)