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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: 

  1. 40 minutes for each talk + 10 minutes for discussion.
  2. The talk should be accessible to all grad students who have completed 1 year of the program.
  3. Informal style. For instance, chalk and blackboard talks are welcome.
  4. Interruptions during the talk are welcome but they should only be for clarifications; longer questions are to be left to the discussion period.
  5. Unpublished work may not be shared or discussed outside the group without the permission of the speaker/author.
  6. 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.