9:30 AM – 10:00 AM
Breakfast
10:00 AM – 10:10 AM
Opening Remarks
10:10 AM – 10:50 AM
Session I (3 Presentations – 12 minutes each)
Arghya Chakraborty: Sequential Change-point Detection in High Dimensions
Chenyang Wang: Estimating the Number of Components in Finite Mixture Models via Variational Approximation
Zhiyuan Yu: Variational Inference via Thouless-Anderson-Palmer Free Energy
10:50 AM – 11:00 AM
Break
11:00 AM – 12:00 PM
Wijsman Lecture
Speaker: Ming Yuan: A cumulant approach to linear regression
12:00 PM – 1:00 PM
Lunch
1:00 PM – 1:50 PM
Session II (4 Presentations – 12 minutes each, including questions)
Mehrdad Mohammadi: Offline Multi-Dimensional Distributional Reinforcement Learning: A Hilbert Space Embedding Approach
Adam Tonks: Geospatial Statistical and Machine Learning Methods
Young Joo Lee: RESCUE: Computational Negative Selection for Spatial Transcriptomics Data via Robust Sparse Recovery
Bo Yuan: Microbiome Data Integration via Shared Dictionary Learning
1:50 PM – 2:00 PM
Break
2:00 PM – 2:50 PM
Session III (3 Faculty Presentations – 15 minutes each)
Eren Kizildag: Large Average Subtensor Problem
Matthew Singh: Neural Dynamics & Control: Adventures in State-Space
Yuexi Wang: Bayesian Computation via Generative Models
2:50 PM – 3:00 PM
Break
3:00 PM – 3:50 PM
Norton Paper Session (2 Students – 25 minutes each)
3:50 PM – 4:00 PM
Break
4:00 PM – 5:00 PM
Bohrer Lecture
Speaker: Dylan Small: Exploration, Confirmation and Replication in the Same Observational Study
5:00 PM – 6:00 PM
Award Presentations and Poster Session
6:00 PM – 8:00 PM
Dinner