Preventing Infectious Disease in Dynamic Populations Under Uncertainty. - Bryan Wilder; Sze-Chuan Suen; Milind Tambe (AAAI, 2018)

Improving GP-UCB Algorithm by Harnessing Decomposed Feedback. - Kai Wang 040; Bryan Wilder; Sze-Chuan Suen; Bistra Dilkina; Milind Tambe (PKDD/ECML Workshops (1), 2019)

Who and When to Screen: Multi-Round Active Screening for Recurrent Infectious Diseases Under Uncertainty. - Han-Ching Ou; Arunesh Sinha; Sze-Chuan Suen; Andrew Perrault; Milind Tambe (CoRR, 2019)

Who and When to Screen: Multi-Round Active Screening for Network Recurrent Infectious Diseases Under Uncertainty. - Han-Ching Ou; Arunesh Sinha; Sze-Chuan Suen; Andrew Perrault; Alpan Raval; Milind Tambe (AAMAS, 2020)

Modeling the dynamism of HIV information diffusion in multiplex networks of homeless youth. - Lindsay E. Young; Jerome R. Mayaud; Sze-Chuan Suen; Milind Tambe; Eric Rice (Soc. Networks, 2020)

Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling. - Kai Wang 040; Bryan Wilder; Sze-Chuan Suen; Bistra Dilkina; Milind Tambe (CoRR, 2021)

RIFLE: Robust Inference from Low Order Marginals. - Sina Baharlouei; Kelechi Ogudu; Sze-Chuan Suen; Meisam Razaviyayn (CoRR, 2021)

Allocating outreach resources for disease control in a dynamic population with information spread. - Bryan Wilder; Sze-Chuan Suen; Milind Tambe (IISE Trans., 2021)

Design of Incentive Programs for Optimal Medication Adherence in the Presence of Observable Consumption. - Sze-Chuan Suen; Diana M. Negoescu; Joel Goh (Oper. Res., 2022)

RIFLE: Imputation and Robust Inference from Low Order Marginals. - Sina Baharlouei; Sze-Chuan Suen; Meisam Razaviyayn (Trans. Mach. Learn. Res., 2023)