Spring 2020 Seminars
| Date | Presenter | Title | |
|---|---|---|---|
| Wednesday, January 15 *Time: 12:10-1:10 pm *Location: F60 Huntsman Hall |
Xiang Zhu – Stanford University | Complex Trait Genetics Through the Lens of Regulatory Networks | |
| Friday, January 17 *Time: 12:10-1:10 pm *Location: F60 Huntsman Hall |
Ewain Gwynne – University of Cambridge | Random Surfaces and Liouville Quantum Gravity | |
| Tuesday, January 21 *Time: 12:10-1:10 pm *Location: F60 Huntsman Hall |
Yuqi Gu – University of Michigan | Uncover Hidden Fine-Grained Scientific Information: Structured Latent Attribute Models | |
| Wednesday, January 22 *Time: 12:10-1:10 pm *Location: F60 Huntsman Hall |
Song Mei – Stanford University | Generalization Error of Linearized Neural Networks: Staircase and Double-descent | |
| Monday, January 27 *Time: 12:10-1:10 pm *Location: F60 Huntsman Hall |
Simon Du – Institute for Advanced Study, Princeton | Foundations of Intelligent Systems with (Deep) Function Approximators | |
| Wednesday, January 29 *Time: 12:10-1:10 pm *Location: F60 Huntsman Hall |
Paromita Dubey – University of California, Davis | Fréchet Change Point Detection | |
| Monday, February 3 *Time: 12:10-1:10 pm *Location: F60 Huntsman Hall |
Sean Jewell – University of Washington | Estimation and Inference for Changepoint Models | |
| Wednesday, February 5 *Time: 12:10-1:10 pm *Location: F60 Huntsman Hall |
Christopher Glynn – University of New Hampshire | Estimating Inflection Points in Community-level Homeless Rates with a Bayesian Nonparametric Mixture Model | |
| Monday, February 10 *Time: 12:10-1:10 pm *Location: F60 Huntsman Hall |
Cong Ma – Princeton University | Statistics Meets Nonconvex Optimization: Computational Efficiency and Uncertainty Quantification | |
| Wednesday, February 26 *Time: 12:10-1:10 pm *Location: F60 Huntsman Hall |
Nathan Kallus – Cornell University | Smooth Contextual Bandits: Bridging the Parametric and Nonparametric Regret Regimes | |
| Wednesday, March 4 *Time: 12:10-1:10 pm *Location: F60 Huntsman Hall |
Peter Bickel – University of California, Berkeley | Some Basic Issues in Network Models and Fitting |