The SDS Student Seminars are opportunities for students to read a paper and present the material to the SDS student community. Seminars will generally be held on Mondays 2:30 to 3:30 pm in PAS 522.
Statistics & Data Science Graduate students are encouraged to participate in the seminars, suggest topics or papers for discussion, or volunteer to present a paper or their own research.
| Date/Time | Presenter | Title/Topic | Additional Information |
|---|---|---|---|
| 02/06/2023, 2:30pm | Jeffrey Mei | Intro to Artificial Neural Networks | |
| 02/27/2023, 2:30pm | Cody Melcher | Intro to PAC (Probably Approximately Correct) Learning | Slides, Chapters 2/3 of "Understanding Machine Learning: From Theory to Algorithms” by Shwartz and Ben-David |
| 03/20/2023, 2:30pm | Tim Mo |
Dirichlet Process Mixture Model (A nonparametric Bayesian model) |
Sharing Clusters Among Related Groups: Hierarchical Dirichlet Processes, Markov Chain Sampling Methods for Dirichlet Process Mixture Models |
| 04/10/2023, 2:30pm | |||
| 04/24/2023, 2:30pm |