ddtlcm: An R package for overcoming weak separation in Bayesian latent class analysis via tree-regularization.
J. Open Source Softw., 2024
Generating Synthetic Electronic Health Record (EHR) Data: A Review with Benchmarking.
CoRR, 2024
Effectiveness of gamified team competition as mHealth intervention for medical interns: a cluster micro-randomized trial.
npj Digit. Medicine, 2023
A Robust Test for the Stationarity Assumption in Sequential Decision Making.
Proceedings of the International Conference on Machine Learning, 2023
A Reinforcement Learning Framework for Dynamic Mediation Analysis.
Proceedings of the International Conference on Machine Learning, 2023
Bayesian Active Questionnaire Design for Cause-of-Death Assignment Using Verbal Autopsies.
Proceedings of the Conference on Health, Inference, and Learning, 2023
Doubly Inhomogeneous Reinforcement Learning.
CoRR, 2022
Dynamic Survival Transformers for Causal Inference with Electronic Health Records.
CoRR, 2022
Reinforcement Learning in Possibly Nonstationary Environments.
CoRR, 2022
Kernel Multimodal Continuous Attention.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Kernel Deformed Exponential Families for Sparse Continuous Attention.
CoRR, 2021
A Functional EM Algorithm for Panel Count Data with Missing Counts.
CoRR, 2020
Weakly-supervised Multi-output Regression via Correlated Gaussian Processes.
CoRR, 2020
A Robust Functional EM Algorithm for Incomplete Panel Count Data.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Predicting survival time for metastatic castration resistant prostate cancer: An iterative imputation approach.
F1000Research, 2016