Zhimei Ren

Orcid: 0000-0002-2872-5842

According to our database1, Zhimei Ren authored at least 15 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Simultaneous Activity and Attenuation Estimation in TOF-PET With TV-Constrained Nonconvex Optimization.
IEEE Trans. Medical Imaging, June, 2024

Policy Learning with Adaptively Collected Data.
Manag. Sci., 2024

Dynamic Batch Learning in High-Dimensional Sparse Linear Contextual Bandits.
Manag. Sci., 2024

Distributionally Robust Policy Learning under Concept Drifts.
CoRR, 2024

Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees.
CoRR, 2024

Not all distributional shifts are equal: Fine-grained robust conformal inference.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Iterative Approximate Cross-Validation.
Proceedings of the International Conference on Machine Learning, 2023

2022
Batched Learning in Generalized Linear Contextual Bandits With General Decision Sets.
IEEE Control. Syst. Lett., 2022

Policy learning "without" overlap: Pessimism and generalized empirical Bernstein's inequality.
CoRR, 2022

Examining the impact of sex differences and the COVID-19 pandemic on health and health care: findings from a national cross-sectional study.
Proceedings of the AMIA 2022, 2022

2021
Doubly-Adaptive Thompson Sampling for Multi-Armed and Contextual Bandits.
CoRR, 2021

Online Multi-Armed Bandits with Adaptive Inference.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Using multivariate models to examine the impact of COVID-19 pandemic and gender differences on health and health care.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2019
Replication and generalization in applied neuroimaging.
NeuroImage, 2019

Batched Multi-armed Bandits Problem.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019


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