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Hands-On Large Language Models: Language Understanding and Generation

October 25, 2024

Speakers:

Jay Alammar

The Toronto Data Workshop brings together academia and industry to share data science and AI best practice.

X-OT: on Variants of Optimal Transport Problem and Understanding Model Robustness

March 27, 2025

Speakers:

Jan Obłój, University of Oxford

Across vast array of applications, mathematics is used to build models which create pathways from inputs to outputs.

Bayesian Modeling in Neuroimaging: Brain Networks Dynamics

March 13, 2025

Speakers:

Michele Guindani

The critical role that statistical approaches play in analyzing brain imaging data will be first highlighted, particularly for functional magnetic

Postdoctoral Fellow Day

November 14, 2024

Speakers:

Archer Gong Zhang

Samuel Perreault

Thibault Randrianarisoa

Austin Brown

Yaoming Zhen

Join us on November 14 for Postdoc Day, a special event dedicated to showcasing the work of our postdoctoral researchers!

The Numeraire E-Variable and Reverse Information Projection

October 31, 2024

Speakers:

Martin Larsson, Carnegie Mellon University

A recent approach to statistical inference is based on the concept of an e-variable: a nonnegative sample statistic whose expected value is at most

New Songs for Old Stories: Interface between Experimental Design and Machine Learning

January 31, 2025

Speakers:

Xinwei Deng

Experimental design and machine learning techniques have been widely used in engineering and data science applications.

Speeding up Metropolis Using Theorems

January 24, 2025

Speakers:

Jeffrey Rosenthal

Markov chain Monte Carlo (MCMC) algorithms, such as the Metropolis algorithm, are designed to converge to complicated high-dimensional target distr

Enhancing Deep Hedging of Options with Implied Volatility Surface Feedback Information

January 13, 2025

Speakers:

Geneviève Gauthier

Authors: François, P., Gauthier, G., Godin, F., Pérez Mendoza, C. O.

Genome Data Science: Towards understanding GWAS loci

November 21, 2024

Speakers:

Lisa Strug

Genome Data Science includes the collection, manipulation, storage, visualization and extraction of information from increasingly larger, more hete

Ordinal State Transition Models as a Unifying Risk Prediction Framework

November 18, 2024

Speakers:

Frank Harrell

In this talk I will present a case for the use of discrete time Markov ordinal longitudinal state transition models as a unifying approach to model

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