[Statlist] FDS Seminar talk with Daniel Roy, University of Toronto - 24 May 2022, 16:15-​17:15 CEST

[Kaiser-Heinzmann Susanne]

We are pleased to announce and invite you to the next talk in our FDS seminar series:

„Replacing assumptions in statistical analysis with adaptivity“

by Daniel Roy, University of Toronto

Date and Time: Tuesday, 24 May 2022, 16:15-​17:15 CEST
Place: ETH Zürich, HG D 1.2

Abstract:
In this talk, I will advocate for rethinking the role of key data assumptions in statistical analysis. In place of assumptions, I will suggest we aim for adaptivity, much like in nonparametric regression, where we seek methods that adapt to, say, the smoothness of the unknown regression function. Not all assumptions are created equal, however. I'll discuss two examples where dropping key assumptions forces us to reconsider also what promises we make to users about our statistical methods. In the first example, we drop the i.i.d. assumption when performing sequential prediction. In the second, we drop the no-unmeasured-confounders assumption when attempting to identify the best intervention. In both cases, we must redefine our goal to arrive at a well-defined problem.

This talk will be based on results described in https://arxiv.org/abs/2007.06552, https://arxiv.org/abs/2110.14804,  and https://arxiv.org/abs/2202.05100, joint work with Blair Bilodeau, Nicolò Campolongo, Jeffrey Negrea, Francesco Orabona, and Linbo Wang.


Organisers: A. Bandeira, H. Bölcskei, P. Bühlmann, S. van de Geer, F. Yang


Seminar website: https://math.ethz.ch/sfs/news-and-events/data-science-seminar.html



_____________________
ETH Zürich
Seminar für Statistik
Sekretariat
Rämistrasse 101
CH-8092 Zürich
Tel: +41 446326518
sekretariat at stat.math.ethz.ch<mailto:sekretariat at stat.math.ethz.ch>


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