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Department of Statistics

2024 Colloquia

The Statistics Department Colloquia invites academic scholars and industrial researchers to present and communicate cutting-edge research and progress in statistics, machine learning, data science, and their interdisciplinary applications. Colloquia are held weekly and open for attendance by faculty, students, and staff.

 

 

Speakers

 

Fall 2024

Date Speaker Title
Aug 29 Weijie Su (University of Pennsylvania) How Statistics Can Advance Large Language Models: Fairness Alignment and Watermarking
Sep 5 Sherry Wang (UT Arlington)  Bayesian Multi-instance Learning: From Healthcare to Online Review Analysis
Sep 12 Carlos Cinelli (UW)  Long Story Short: Omitted Variable Bias in Causal Machine Learning
Sep 19 Will Townes (CMU)  Bizarre mixed Poisson distributions and wastewater-based epidemiology
Oct 3 Lizhen Lin (UMD)  Statistical foundations of deep generative models 
Oct 17 Max Morris (Iowa State)  Preliminary Two-Level Experimental Designs within Three-Level Orthogonal Arrays
Oct 24 Tingting Zhang (Pitt)  Analysis of Functional Connectivity Changes from Childhood to Old Age: A Study Using HCP-D, HCP-YA, and HCP-A Datasets
Nov 21 Mary Meyer (Colorado State)  TBA
Dec 5 Kai Zhang (UNC)  BET and BELIEF
Dec 12 Kelly McConville (Bucknell) A Cautious Survey Statistician’s Approach to Estimation in the Age of Big Data

 

Spring 2024

Date Speaker Title
Feb 21-22

Marker Lecture with Xiao-Li Meng

Note: non-standard time

Data Minding Before Data Mining (Or How Small are Big Data?)
Feb 29 Ian Fellows (Fellows Statistics) Flexible Modeling of Network Growth: The Latent Order Logistic (LOLOG) Model
Mar 21 Public Lecture (Bharath Sriperumbudur) A Kernel Hike in the Machine Learning Forest
Mar 26 SAGF Lecture - Dr. Elizabeth Stuart Learning What Works in Populations for Public Health and Public Policy: The Role of Careful Study Design, Statistics, and Statisticians
Mar 28 Bruno Sanso (UCSC) Non-Gaussian geostatistical models using nearest neighbors processes.
Apr 5-7 Infectious Disease Workshop Visit Program
Apr 11 Anne van Deltt (Columbia) A Statistical Framework for Analyzing Shape in a Time Series of Random Geometric Objects
Apr 18 Wei-Biao Wu (University of Chicago) Fast Algorithms for Estimating Covariance Matrices of Stochastic Gradient Descent Solutions
Apr 25 End of Year Party  

The colloquia will be held from 3:30pm to 4:30pm in Thomas 201

 

A look back at previous COLLOQUIA.