Statistics & Data Science Student Journal Seminar

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 various locations.

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.

Fall 2023 Schedule

Date/Time Location Presenter Title/Topic Additional Information
09/18/2023, 2:30pm PAS 522 Shudong Sun "Neyman-Pearson Classification Algorithms and NP Receiver Operating Characteristics
10/23/23, 2:30pm TBA TBA TBA TBA
11/20/2023, 2:30 TBA TBA TBA TBA

Spring 2023 Schedule

Date/Time Presenter Title/Topic Additional Information
02/06/2023, 2:30pm Jeffrey Mei Intro to Artificial Neural Networks

Slides, Elements of Statistical Learning

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)

SlidesSharing Clusters Among Related Groups: Hierarchical Dirichlet Processes, Markov Chain Sampling Methods for Dirichlet Process Mixture Models
04/10/2023, 2:30pm Jacob Maibach Nonparametric Bayes: Concepts and Computation Article