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Monday, April 24, 2023 4:00 pm - 4:00 pm EDT (GMT -04:00)

Seminar by Mark Sellke

Please Note: This seminar will be given in person.

Probability seminar series 

Mark Sellke
Amazon/Harvard University

Room: M3 3127

Algorithmic Thresholds for Spherical Spin Glasses

Wednesday, April 26, 2023 4:00 pm - 4:00 pm EDT (GMT -04:00)

Seminar by Ehsan Karim

Please Note: This seminar will be given in person.

Statistics and Biostatistics seminar series 

Ehsan Karim
University of British Columbia

Room: M3 3127

Rethinking Residual Confounding Bias Reduction: Why Vanilla hdPS Alone is No Longer Enough in the Era of Machine Learning

Tuesday, May 2, 2023 11:30 am - 11:30 am EDT (GMT -04:00)

Seminar by Reza Gheissari

Please Note: This seminar will be given in person.

Probability seminar series 

Reza Gheissari
Northwestern University

Room: M3 3127

High-dimensional limit theorems for stochastic gradient descent ​​​​​​​

Friday, May 26, 2023 10:30 am - 10:30 am EDT (GMT -04:00)

Seminar by Arthur Charpentier

Please Note: This seminar will be given in person.

Actuarial Science and Financial Mathematics seminar series 

Arthur Charpentier
L'Université du Québec à Montréal (UQAM)

Room: M3 3127

Causal Inference and Counterfactuals with Optimal Transport With Applications in Fairness and Discrimination

Thursday, June 1, 2023 3:00 pm - 3:00 pm EDT (GMT -04:00)

Seminar by Qingrun Zhang

Please Note: This seminar will be given in person.

Statistics and Biostatistics seminar series 

Qingrun Zhang
Calgary University

Room: M3 3127

Stabilized Core gene and Pathway Election uncovers pan-cancer shared pathways and a cancer-specific driver 

Friday, June 2, 2023 2:00 pm - 2:00 pm EDT (GMT -04:00)

David Sprott Distinguished Lecture by Vladimir Vovk

Please Note: This seminar will be given in-person.

Distinguished Lecture Series

Vladimir Vovk 
Royal Holloway, University of London

Room: DC 1302

Nonparametric prediction and testing


The assumption of randomness (the data are generated in the IID fashion) is the key assumption used in machine learning and much of nonparametric statistics. My main topics will be prediction under this assumption and testing the assumption. The treatment of both topics will be based on the relatively recent technique of conformal prediction, but I will try to connect it with David A. Sprott's ideas and areas of research pointing out some paradoxical features of prediction and testing in the framework of unrestricted randomness. On one hand, they are barely possible, in the sense that the existence of non-trivial prediction and testing procedures is fragile: they cease to exist when the problem settings are modified in natural ways. On the other, such procedures can be highly efficient in realistic situations; I will give both theoretical and experimental results demonstrating this.


Monday, June 12, 2023 3:00 pm - 3:00 pm EDT (GMT -04:00)

Seminar by Elena Tuzhilina

Please Note: This seminar will be given in person.

Statistics and Biostatistics seminar series 

Elena Tuzhilina
University of Toronto

Room: M3 3127

Statistical curve models for inferring 3D chromatin architecture

Wednesday, June 21, 2023 3:00 pm - 3:00 pm EDT (GMT -04:00)

Seminar by Abbas Khalili

Statistics and Biostatistics seminar series 

Abbas Khalili
McGill University

Room: M3 3127

Sparse estimation in heterogeneous varying coefficient regression models

Friday, July 21, 2023 10:30 am - 11:30 am EDT (GMT -04:00)

Seminar by Jackie Wong

Please Note: This seminar will be given in person.

Actuarial Science and Financial Mathematics seminar series 

Jackie Wong
University of Essex

Room: M3 3127

Bayesian model comparison for mortality forecasting  (Coherent Quantification of Longevity Risk)