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Seminar Series

Seminar Series

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

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.

Statistical Inference in the Presence of Imputed Survey Data Through Regression Trees and Random Forests

September 28, 2023

Speakers:

David Haziza, University of Ottawa

In recent years, machine learning procedures have attracted much attention in National Statistical Offices.

Brown Bag Seminar: Spatio-Temporal Pareto Modelling of Heavy-Tail Data

October 10, 2023

Speakers:

Luis Nieto-Barajas

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

Brown Bag Seminar: General Transformation for Consistent Online Approximation Algorithms

September 25, 2023

Speakers:

Jing Dong

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

Statistical Sciences ARES: Stephen Portillo

September 25, 2023

Join us at the Statistical Sciences Applied Research and Education Seminar (ARES) with

Brown Bag Seminar: Austin Brown

September 19, 2023

Speakers:

Austin Brown

How to utilize lower bounds on the convergence rates to tune Metropolis-Hastings algorithms to avoid poor empirical performance.

Empower RCT Analysis with Integrated Information from RWD

April 13, 2023

Speakers:

Shu Yang, North Carolina State University

Parallel randomized clinical trial (RCT) and real-world data (RWD) are becoming increasingly available for treatment evaluation.

Random Probability Measures via Dependent Stick-Breaking Priors

April 6, 2023

Speakers:

Ramsés H. Mena, Universidad Nacional Autónoma de México

I will present a general class of stick-breaking processes with either exchangeable or Markovian length variables.

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