We run two group meetings with a shared topic. All current members and also prospective students who’d like to learn what we do are invited to join.
[Announcement] We skip the meeting on 12/5. We’ll resume the meeting the following week.
In the fall semester of 2024, we cover topics including:
- machine learning for medicine:
- wearable device data, cardiovascular image analysis, ICU streaming data
- interpretable statistical learning:
- symbolic regression and density estimation
- integer regression and statistical scoring
- statistical theory and computation
- large Bayesian models
- Gaussian processes (theory and computation)
- guaranteed uncertainty quantification in Bayesian inference
We meet twice a week in Maxfield 129:
- Tuesdays, 10am-11:30am
- Thursdays, 10am-11:30am
- Contact: Shengbin Ye (email: sy53 at rice.edu)