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
|09/18/2023, 2:30pm||PAS 522||Shudong Sun||"Neyman-Pearson Classification Algorithms and NP Receiver Operating Characteristics"||
Spring 2023 Schedule
|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)
|Slides, Sharing 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|