Full Program Booklet
Keynote speakers:
Wijsman Lecture: Dawn Woodard: (https://www.linkedin.com/in/dawn-woodard/)
Bohrer Lecture: Vijay Nair (https://lsa.umich.edu/stats/people/faculty/vnn.html)
Schedule (all times are CST)
8:30 - 9:00 Breakfast
9:00 - 9:10 Opening Remark
9:10 - 9:50 Speed Session 1
- Anamitra Chaudhuri
- Sequential change-point detection of correlation structure
- Robert Garrett
- Sliced Elastic Distance for Validation of Global Climate Models
- Shishuang He
- Identifiability of the Mixed Membership Stochastic Blockmodel
- Sophie Larsen
- Host heterogeneity and SARS-CoV-2: lessons learned from vaccine uptake across socioeconomic groups
- Zihe Liu
- Bayesian Selection and Smoothing for Generalized Additive Model
- Adriana Morales Miranda
- Climate drivers and seasonality of Respiratory Syncytial Virus in the Southern Hemisphere
9:50 - 10:00 Break
10:00 - 11:00 Bohrer Lecture (remote)
- Vijay Nair
- Machine Learning: Applications, Opportunities, and Challenges
11:00 - 11:15 Break
11:15 - 12:00 Speed Session 2
- Diptarka Saha
- Efficient Variational Approach to Sparse BNN for Model Compression
- Rong Tang
- Minimax Rate of Distribution Estimation on Unknown Submanifold under Adversarial Losses
- Adam Tonks
- West Nile Virus Forecasting using Graph Neural Networks
- Mengchen Wang
- On spatial change-point detection in spatially correlated functional time series
- Tianning Xu
- Variance estimation of random forests
- Rentian Yao
- Nonparametric estimation problem of a distribution-state dependent drift vector field
- Yubo Zhuang
- Sketch-and-lift: scalable subsampled semidefinite program for K-means clustering
12:00 - 1:00 Lunch
1:00 - 1:45 Paper Session 1
- Alton Barbehenn
- Asyptotically Optimal Simultaneous Gaussian Mean Estimation with Nonparametric Regression
- Sayan Chakrabarty
- Subsampling Based Community Detection in Large Networks
- Sarah Formentini
- Confidence Band Estimation for Survival Random Forests
1:45 - 2:00 Break
2:00 - 2:30 Paper Session 2
- Yan Shen
- Comparing baseball players across eras via the novel Full House Model
- Austin Warner
- Sequential Change Diagnosis Revisited
2:30 - 2:40 Break
2:40 - 2:45 Introduction to Norton Prize
2:45 - 3:45 Norton Session
- Yangfan Zhang
- Adaptive Testing for High-Dimensional Data
- Joshua Loyal
- An Eigenmodel for Dynamic Multilayer Networks
3:45 - 4:00 Break
4:00 - 5:00 Wijsman Lecture (remote)
- Dawn Woodard
- Statistical Efficiency of Travel Time Prediction
5:00 - 6:00 Award Presentations and Poster Session
6:00 - 8:00 Dinner
Zoom Information:
https://illinois.zoom.us/j/85711463563?pwd=U1VtNFpZay9LZjBONVVWcjNwTkc1QT09
Meeting ID: 857 1146 3563
Password: 347542
