Adapting black-box machine learning methods for causal inference

Tuesday, January 28, 2020 - 11:00 to 12:00
Victor Veitch, Department of Statistics, Columbia University
Statistics Seminar
Room 4192, Earth Sciences Building (2207 Main Mall)

Valid post-selection inference: Why and How

Thursday, January 23, 2020 - 11:00 to 12:00
Arun Kumar Kuchibhotla, The Wharton School, University of Pennsylvania
Statistics Seminar
Room 4192, Earth Sciences Building (2207 Main Mall)

Trend filtering in exponential families

Tuesday, January 7, 2020 - 11:00 to 12:00
Daniel McDonald, Indiana University
Statistics Seminar
Room 4192, Earth Sciences Building (2207 Main Mall)

Fréchet Change Point Detection

Thursday, January 9, 2020 - 11:00 to 12:00
Paromita Dubey, Postdoctoral Scholar, Department of Statistics, University of California, Davis
Statistics Seminar
Room 4192, Earth Sciences Building (2207 Main Mall)

Global and local estimation of low-rank random graphs

Thursday, January 16, 2020 - 11:00 to 12:00
Fangzheng Xie, Department of Applied Mathematics and Statistics, Johns Hopkins University
Statistics Seminar
Room 4192, Earth Sciences Building (2207 Main Mall)

The Blessings of Multiple Causes

Tuesday, January 14, 2020 - 11:00 to 12:00
Yixin Wang, Columbia University
Statistics Seminar
Room 4192, Earth Sciences Building (2207 Main Mall)

Uncover Hidden Fine-Grained Scientific Information: Structured Latent Attribute Models

Tuesday, December 10, 2019 - 11:00 to 12:00
Yuqi Gu, University of Michigan
Statistics Seminar
Room 4192, Earth Sciences Building (2207 Main Mall)

Diagnostics for Regression Models with Discrete Outcomes

Wednesday, December 4, 2019 - 11:00 to 12:00
Lu Yang, University of Amsterdam
Statistics Seminar
Room 4192, Earth Sciences Building (2207 Main Mall)

Talk by PIMS-UBC Mathematical Sciences Young Faculty Award Winner (2018), Alex Bouchard-Côté

Friday, November 15, 2019 - 03:00 to 04:00
Alex Bouchard-Côté, UBC Statistics Associate Professor, PIMS-UBC Mathematical Sciences Young Faculty Award Winner
Statistics Seminar
ESB 1012

Identifiability of nonparametric mixture models, clustering, and semi-supervised learning

Tuesday, November 19, 2019 - 11:00 to 12:00
Bryon Aragam, Assistant Professor, Booth School of Business, University of Chicago
Statistics Seminar
Room 4192, Earth Sciences Building (2207 Main Mall)

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