Walter H. Dempsey

According to our database, Walter H. Dempsey authored at least 8 papers between 2017 and 2023.

Collaborative distances:

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

2023

Effectiveness of gamified team competition as mHealth intervention for medical interns: a cluster micro-randomized trial.

Jitao Wang, Yu Fang, Elena Frank, Maureen A. Walton, Margit Burmeister, Ambuj Tewari, Walter H. Dempsey, Timothy NeCamp, Srijan Sen, Zhenke Wu

npj Digit. Medicine, 2023

Debiased Machine Learning and Network Cohesion for Doubly-Robust Differential Reward Models in Contextual Bandits.

Easton K. Huch, Jieru Shi, Madeline R. Abbott, Jessica R. Golbus, Alexander Moreno, Walter H. Dempsey

CoRR, 2023

CataBEEM: Integrating Latent Interaction Categories in Node-wise Community Detection Models for Network Data.

Yuhua Zhang, Walter H. Dempsey

Proceedings of the International Conference on Machine Learning, 2023

2022

Kernel Multimodal Continuous Attention.

Alexander Moreno, Zhenke Wu, Supriya Nagesh, Walter H. Dempsey, James M. Rehg

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Kernel Deformed Exponential Families for Sparse Continuous Attention.

Alexander Moreno, Supriya Nagesh, Zhenke Wu, Walter H. Dempsey, James M. Rehg

CoRR, 2021

2020

A Functional EM Algorithm for Panel Count Data with Missing Counts.

Alexander Moreno, Zhenke Wu, Jamie Yap, David W. Wetter, Cho Lam, Inbal Nahum-Shani, Walter H. Dempsey, James M. Rehg

CoRR, 2020

A Robust Functional EM Algorithm for Incomplete Panel Count Data.

Alexander Moreno, Zhenke Wu, Jamie Yap, Cho Lam, David W. Wetter, Inbal Nahum-Shani, Walter H. Dempsey, James M. Rehg

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2017

iSurvive: An Interpretable, Event-time Prediction Model for mHealth.

Walter H. Dempsey, Alexander Moreno, Christy K. Scott, Michael L. Dennis, David H. Gustafson, Susan A. Murphy, James M. Rehg

Proceedings of the 34th International Conference on Machine Learning, 2017