6th Princeton Day of Statistics

November 9th, 2018

Julis Romo Rabinowitz Building 399, Princeton University

This is a one-day 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

  • Jianqing Fan, Princeton University
  • Samory Kpotufe, Princeton University

Speakers

  • Ery Arias-Castro
  • Afonso Bandeira
  • Jing Lei
  • Andrea Montanari
  • Andrew Nobel
  • Philippe Rigollet
  • Vladimir Spokoiny
  • Ming Yuan

Schedule

Time Speaker or Event Topic or Activity
8:30am to 9:00am Registration and Breakfast: Julis Romo Rabinowitz 397   
9:00am to 9:05am Opening Remarks   
  Session 1: Chair: J. Fan   
9:05am to 9:50am Ery Arias-Castro, University of California, San Diego  On using graph distances to estimate Euclidean and related distances
9:50am to 10:35am Philippe Rigollet, Massachusetts Institute of Technology  Uncoupled isotonic regression via minimum Wasserstein deconvolution
10:35am to 11:00am Coffee Break Julis Romo Rabinowitz 397   
  Session 2: Chair: Samory Kpotufe   
11:00am to 11:45am Andrea Montanari, Stanford University  Mean field asymptotics in high-dimensional statistics
11:45am to 12:30pm Ming Yuan, Columbia University  Sparse Grid Meets Random Hashing: Learning High Dimensional Functions of Few Variables
12:30pm to 2:00pm Lunch: Sherrerd Hall Atrium   
2:00pm to 2:45pm Vladimir Spokoiny, Humboldt University of Berlin  Large ball probability with applications to statistical inference
  Session 3: Chair: Miklos Racz   
2:45pm to 3:30pm Afonso Bandeira, New York University  Statistical estimation under group actions: The Sample Complexity of Multi-Reference Alignment
3:30pm to 4:00pm Coffee Break Julis Romo Rabinowitz 397   
  Session 4: Chair: Yuxin Chen   
4:00pm to 4:45pm Jing Lei, Carnegie Mellon University  Network Representation Using Graph Root Distributions
4:45pm to 5:30pm Andrew Nobel, University of North Carolina at Chapel Hill  Variational Analysis of Empirical Risk Minimization

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