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Nested Sampling and its Potential Role in Computational Bayesian Education

November 21, 2023

Speakers:

Josh Speagle

Welcome to our casual research seminar organized in the Department of Statistical Sciences at the

Trustworthy AI: The Role of Statistics in Ensuring Ethical and Accurate AI

November 13, 2023

Speakers:

Luk Arbuckle

The use of artificial intelligence (AI) has become increasingly prevalent in various industries, leading to concerns about its potential impact on

Fair and Optimal Prediction via Post-Processing

November 23, 2023

Speakers:

Han Zhao, University of Illinois at Urbana-Champaign

To mitigate the bias exhibited by machine learning models, fairness criteria can be integrated into the training process to ensure fair treatment a

CANSSI Showcase 2023

November 17, 2023

The CANSSI Showcase is an annual celebration of the work being done by CANSSI-supported researchers, postdoctoral fellows, and students across Cana

Brown Bag Seminar: A Decorrelation Method for General Regression Adjustment

October 24, 2023

Speakers:

Wenlong Mou

Welcome to our casual research seminar organized in the Department of Statistical Sciences at the

Brown Bag Seminar: Nash Equilibria in Greenhouse Gas Offset Credit Markets

November 7, 2023

Speakers:

Liam Welsh

Welcome to our casual research seminar organized in the Department of Statistical Sciences at the

Brown Bag Seminar: Optimal Robust Reinsurance with Multiple Insurers

October 31, 2023

Speakers:

Emma Kroell

Welcome to our casual research seminar organized in the Department of Statistical Sciences at the

Brown Bag Seminar: Generative Modeling of Financial Time Series Data

October 17, 2023

Speakers:

Vedant Choudhary

Welcome to our casual research seminar organized in the Department of Statistical Sciences at the

Hitting the High-D(imensional) Notes: An ODE for SGD Learning Dynamics in High-dimensions

October 26, 2023

Speakers:

Courtney Paquette, McGill University

In this talk, I will present a framework, inspired by random matrix theory, for analyzing the dynamics of stochastic optimization algorithms (e.g.,

Methods & Theory Seminar Series

October 12, 2023

Speakers:

Valentin Patilea, ENSAI, France – Ecole Nationale de La Statistique et de l'analyse de l'information (The National School of Statistics and Analysis of Information)

Valentin Patilea is currently professor at Ensai, a French graduate school for Statistics, and member of the lab CREST.

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