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acf199
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Mon, 01/09/2023 - 08:59
SMAC TALKS SPRING 2023
Stochastic Modeling and Computational Statistics
Stochastic Modeling and Computational Statistics
Spring 2023
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- Unpublished work may not be shared or discussed outside the group without the permission of the speaker/author.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.
Date | Speaker | Title |
---|---|---|
2/24/23 | Antonio Blanca | Testing in high-dimension from conditional samples |
3/3/22 | Spring Break | |
3/10/23 | Spring Break | |
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.