7th Princeton Day of Statistics

Friday, October 29th – Saturday, October 30th 2021

Computer Science Building Room 104, Princeton University

The Princeton Day of Statistics (PDS) is a workshop on the various aspects of the frontiers of statistics. The workshop intends to bring top researchers together to define and expand the frontiers of statistics. It also provides a focal venue for senior and junior researchers to discuss and outline emerging problems in their fields and to lay the groundwork for future collaborations.

Organizers

  • Matias Cattaneo, Co-Chair
  • Jianqing Fan, Co-Chair
  • Boris Hanin
  • Jason Klusowski
  • Sanjeev Kulkarni
  • Miklos Racz
  • Elizaveta Rebrova

Speakers

  • Sivaraman Balakrishnan
  • Joan Bruna
  • Edgar Dobriban
  • Anna Gilbert
  • Jianhua Hu
  • Zheng (Tracy) Ke
  • Samory Kpotufe
  • Ian McKeague
  • Konrad Menzel
  • Jonathan Niles-Weed
  • Alessandro Rinaldo
  • Soledad Villar
  • Andre Wibisono
  • Ming Yuan
  • Nancy Zhang

Schedule

Friday, October 29th, 2021
Time Speaker or Event Topic or Activity
9:00 am – 9:40 am Zheng (Tracy) Ke, Harvard University Power Analysis and Phase Transitions for FDR Control Methods
9:40 am – 10:20 am Ming Yuan, Columbia University Low Rank Tensor Methods in High Dimensional Data Analysis
10:40 am – 11:20 am Anna Gilbert, Yale University How can classical multidimensional scaling go wrong?
11:20 am – 12:00 pm Soledad Villar, Johns Hopkins University Dimensionality reduction, regularization, and generalization in overparameterized regressions
2:00 pm – 2:40 pm Jianhua Hu, Columbia University New statistical development in biomedical applications
2:40 pm – 3:20 pm Alessandro Rinaldo, Carnegie Mellon University A modern look at inference in linear regression: model-free validity, normal approximations and high dimensions
3:40 pm – 4:20 pm Sivaraman Balakrishnan, Carnegie Mellon University Two methods for assumption-light inference
4:20 pm – 5:00 pm Joan Bruna, New York University Statistical-to-Computational Gaps in learning single periodic neurons
Saturday, October 30, 2021
Time Speaker or Event Topic or Activity
9:00 am – 9:40 am Ian McKeague, Columbia University Fallacies of selection: challenges in post-selection inference
9:40 am – 10:20 am Jonathan Niles-Weed, New York University Towards practical estimation of Brenier maps
10:20 am – 11:00 am Nancy Zhang, University of Pennsylvania DNA Copy Number Profiling from Bulk Tissues to Single Cells
11:20 am – 12:00 pm Samory Kpotufe, Columbia University Some Recent Insights on Transfer and Multitask Learning
12:00 pm – 12:40 pm Edgar Dobriban, University of Pennsylvania Comparing Classes of Estimators: When does Gradient Descent Beat Ridge Regression in Linear Models?
2:00 pm – 2:40 pm Konrad Menzel, New York University Central Limit Theory for Models of Strategic Network Formation
2:40 pm – 3:20 pm Andre Wibisono, Yale University On Bias and Discretization: Sampling under Isoperimetry via Langevin Algorithm