Stochastic Modeling and Computational Statistics
SMAC talks are held each Friday during fall and spring semesters from 10:10 AM to 11:00 AM in 327 Thomas Building and on Zoom. Talks last 40 minutes, with time for clarification questions. The last 10 minutes are for open-ended discussion.
The general guidelines for each talk:
- 40 minutes for each talk + 10 minutes for discussion.
- The talk should be accessible to all grad students who have completed 1 year of the program.
- Informal style. For instance, chalk and blackboard talks are welcome.
- Interruptions during the talk are welcome but they should only be for clarifications; longer questions are to be left to the discussion period.
- Unpublished work may not be shared or discussed outside the group without the permission of the speaker/author.
- While a large proportion of the talks may be related to stochastic modeling and computing, a much broader list of topics have also been discussed in this series.
|2/24/23||Antonio Blanca||Testing in high-dimension from conditional samples|
|3/17/22||Haotian Xu||Change point inference in high-dimensional regression models under temporal dependence|
|3/24/23||Mehrdad Mahdavi||Collaborative Machine Learning: A Pluralistic Approach with Provable Guarantees|
|4/7/23||Sudha Veturi||Data-driven approach to identify shared genetics between the human brain and complex human diseases across organ systems.|
|4/14/23||Sakshi Arya||Kernel Epsilon-Greedy Algorithm for Contextual Bandits|
|4/21/23||Carlos Soto||Shape and Structure Preserving Differential Privacy|
A look back at previous SMAC TALKS.