BBseminar

Brown Bag Seminar (DoSS, University of Toronto)

About the seminar series:

Welcome to our casual research seminar organized in the Department of Statistical Sciences at the University of Toronto. Our aim is to explore the diverse research conducted by our faculty, students, and postdocs. Talks usually last around 30 minutes, followed by discussions. We cover current research, overviews of emerging topics, and more. Some pizzas will be offered before the seminar around 12:20pm.

Seminar organizers: Austin Brown & Archer Gong Zhang & Piotr Zwiernik


Schedule of Talks for 2023/2024

Meetings are on Tuesdays, 12:30pm (30 min talk + discussion), room: 9014 (pizza will be served around 12:20pm)

To sign up to give a talk use our spreadsheet.

Date Speaker Title Remarks
18/9/23 (M) Austin Brown How to utilize lower bounds on the convergence rates to tune Metropolis-Hastings algorithms to avoid poor empirical performance. Internal speaker
25/9/23 (M) Jing Dong General Transformation for Consistent Online Approximation Algorithms External speaker invited by Qiang Sun
3/10/23 Qiang Sun From asymptotics to finite samples, and back again Internal speaker
10/10/23 Luis Nieto-Barajas Spatio-temporal Pareto modelling of heavy-tail data Luis is a visiting professor from ITAM-Mexico
17/10/23 Vedant Choudhary Generative modeling of financial time series data PhD student at DoSS
24/10/23 Wenlong Mou A decorrelation method for general regression adjustment Internal speaker
31/10/23 Emma Kroell Optimal Robust Reinsurance with Multiple Insurers PhD student at DoSS
7/11/23 Liam Welsh Nash Equilibria in Greenhouse Gas Offset Credit Markets PhD student at DoSS
14/11/23 Krishna Balasubramanian From Stability to Chaos: Analyzing Gradient Descent Dynamics in Quadratic Regression A guest from UC Davis
21/11/23 (starts 1:15pm) Josh Speagle Nested Sampling and its Potential Role in Computational Bayesian Education Internal speaker
28/11/23 (starts 12:00pm) Rohan Alexander Evaluating the Decency and Consistency of Data Validation Tests Generated by LLMs (https://arxiv.org/abs/2310.01402) Internal speaker, Information and DoSS
05/12/23 Xin Bing Optimal vintage factor analysis with deflation varimax Internal speaker
12/12/23 Paolo Onorati An Extension of the Unified Skew-Normal Family of Distributions and Application to Bayesian Binary Regression Visiting PDF from Rome
9/1/24 Yaoming Zhen Some examples of tensor decompositions Internal speaker
16/1/24 Marlon Moresco Uncertainty Propagation and Dynamic Robust Risk Measures Internal speaker
23/1/24 Skipped due to room conflict    
30/1/24 Break    
6/2/24 Austin Brown Error analysis for a parallel Monte Carlo estimator from many short Markov chains Internal speaker
13/2/24 Skipped due to job talk    
20/2/24 Jun Young Park Spatial-extent inference for neuroimaging data Internal speaker
27/2/24 Xin Bing Linear Discriminant Regularized Regression Internal speaker
5/3/24 Leonard Wong How finance, geometry and transport came together Internal speaker
12/3/24 Sebastian Jaimungal An Intro to Mean Field Game Theory and Step-Wise Regret Internal speaker
- We would like to acknowledge funding from the Department of Statistical Sciences.