Sze-Chuan Suen

According to our database, Sze-Chuan Suen authored at least 10 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

RIFLE: Imputation and Robust Inference from Low Order Marginals.

Sina Baharlouei, Sze-Chuan Suen, Meisam Razaviyayn

Trans. Mach. Learn. Res., 2023

2022

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

2021

Allocating outreach resources for disease control in a dynamic population with information spread.

Bryan Wilder, Sze-Chuan Suen, Milind Tambe

IISE Trans., 2021

RIFLE: Robust Inference from Low Order Marginals.

Sina Baharlouei, Kelechi Ogudu, Sze-Chuan Suen, Meisam Razaviyayn

CoRR, 2021

Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling.

Kai Wang, Bryan Wilder, Sze-Chuan Suen, Bistra Dilkina, Milind Tambe

CoRR, 2021

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

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

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

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

Improving GP-UCB Algorithm by Harnessing Decomposed Feedback.

Kai Wang, Bryan Wilder, Sze-Chuan Suen, Bistra Dilkina, Milind Tambe

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018

Preventing Infectious Disease in Dynamic Populations Under Uncertainty.

Bryan Wilder, Sze-Chuan Suen, Milind Tambe

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018