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Stochastic Modeling and Computational Statistics

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Spring 2021

SMAC talks are held each Friday during fall and spring semesters from 10:10 AM to 11:00 AM 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 Unpublished work may not be shared or discussed outside the group without the permission of the speaker/author.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.





January 22 Jacopo Di Iorio (Scuola Superiore Sant'Anna, Pisa, Italy) Biclustering and Motifs Discovery Methods for Functional Data
January 29 Bokgyeong Kang (Penn State) Diagnostics for Monte-Carlo Based Inference for Models with Intractable Normalizing Functions
February 5 Anant Raj (Max-Planck Institute for Intelligent Systems, Tuebingen, German) Accelerated Stochastic Optimization: Optimism, Coordinate Descent and Beyond
February 12 Weijie Su (University of Pennsylvania) Gaussian Differential Privacy
February 19 Jinchao Xu (Penn State) Deep Learning, Finite Element and Multigrid
February 26 Ick Hoon Jin (Yonsei, South Korea) Mapping unobserved item-respondent interactions: A latent space item response model with interaction map
March 5 Harris Quach Generalized Forward Sufficient Dimension Reduction for Categorical and Ordinal Responses
March 12 Nanyin Zhang Understanding Brain Networks in Awake Rodents
March 19 Elvan Ceyhan (Auburn University) Imbalanced Classification based on a Geometric Graph Family
March 26 Edward O'Brien Physical Bioinformatics or: How Penn State Statistics Saved me from Reviewer 3
April 2 Ran Dai (University of Nebraska) Statistical and Algorithmic Guarantees for High Dimensional Single Index Model (HDSIM)
April 9 Bharath Sriperumbudur Minimax Estimation of Quadratic Fourier Functionals
April 16 Tobia Boschi The shapes of an epidemic: using Functional Data Analysis to characterize COVID-19 in Italy
April 23 Nicholas Rios Order-of-Addition Mixture Experiments

A look back at previous SMAC TALKS.