2023
Student Seminar: Lijia Zhou
12:00–1:00 pm Harper Memorial Library, Room 151
Dissertation Presentation and Defense
LIJIA ZHOU, Department of Statistics, The University of Chicago
“A Statistical Learning Theory for Models with High Complexity”
Student Seminar: Kentaro Nakamura
10:00–10:30 am Jones 304
Master’s Thesis Presentation
KENTARO NAKAMURA, Department of Statistics, The University of Chicago
“Improving Text as Treatment Framework”
CAM PhD Dissertation Defense: Zhen Dai
3:00–4:00 pm Jones 303
ZHEN DAI, Computational and Applied Mathematics, University of Chicago
“Complexity and Numerical Stability in Matrix Computations and Nonconvex Optimization “
Student Seminar: Liangzong Ma
9:00–9:30 am Via Zoom
Master’s Thesis Presentation
LIANGZONG MA, Department of Statistics, The University of Chicago
“Identify Heterogeneity of Consumer Choice Using Machine Learning in Graph”
CAM Colloquium: Lexing Ying
4:00–5:00 pm Jones 303
Joint Colloquium with The Data Science Institute
LEXING YING, Department of Mathematics and Institute for Computational and Mathematical Engineering, Stanford University
“Quantum Numerical Analysis”
Student Seminar: Zixuan Wu
4:00–4:30 pm Via Zoom
Master’s Thesis Presentation
ZIXUAN WU, Department of Statistics, The University of Chicago
“Causal Mediation analysis for lifecourse Mendelian Randomization”
Student Seminar: Subhodh Kotekal
2:00–4:00 pm Jones 304
Dissertation Proposal Presentation
SUBHODH KOTEKAL, Department of Statistics, The University of Chicago
“Null Estimation in Large Scale Inference”
Student Seminar: Sounak Paul
1:00–2:00 pm Jones 304
Dissertation Proposal Presentation
SOUNAK PAUL, Department of Statistics, The University of Chicago
“Deep Neural Networks for Orbit Recovery from Method of Moments”
Student Seminar: Madhuri Raman
10:00–10:30 am Via Zoom
Master’s Thesis Presentation
MADHURI RAMAN, Department of Statistics, The University of Chicago
“Fixed-Effects vs. Random-Effects Models for Clustered Longitudinal Binary Outcomes”
Student Seminar: Shuo Xie
3:00–3:30 pm Jones 111
Master’s Thesis Presentation
SHUO XIE, Department of Statistics, The University of Chicago
“Hidden State Variability of Pretrained Language Models Can Guide Computation Reduction for Transfer Learning”