1:00–4:00 pm Jones 303
Friday, May 16, 2025, from 1:00-4:30 PM, in Jones 303, 5747 S. Ellis Avenue
Mini-Seminars for Second-Year PhDs
Moderator: Jimmy Lederman
- 1:00 pm: Beining Wu, Can Neural Networks Achieve Optimal Computational-statistical Gaps? An Analysis on Single-index Models
- 1:15 pm: Minjun Cho, Adaptive Robust Confidence Intervals for the Binomial Distribution
- 1:30 pm: Woohyun Choi, Empirical Bayes Mean Estimation via Summary Statistics under Nonparametric Errors
- 1:45 pm: Ankur Garg, Learning Discrete Causal Representations from Heterogeneous Domains: A Bayesian Approach
- 2:00 pm: Junming Guan, Empirical Bayes Principal Component Analysis for Automatic Dimensionality Selection
- 2:15 pm: Qiyuan Liu, Using gRNA Efficiency to Enhance Detection Power in Perturb-seq
- 2:30 pm: Tannistha Mondal, Practical Sparse Generalized Canonical Correlation Analysis
- 2:45 pm: David Chen, Yet Another Conditional Independence Test
- 3:00 pm: Zixuan Wu, Link Prediction using Graph Neural Networks
- 3:15 pm: Dong Xie, Adaptive confidence interval in robust regression
Event Type
May
16