Schedule

Below is the official schedule for the event. All times are in EDT.

Opening Remarks

Time: 9:45-10:00

Speaker: Luis Sierra Muntané (SGSU President)

Block 1: Data Science Theory

Chair: Pat Chimtanoo (UofT DoSS)

Time	Title	Speaker
10:00–10:30	Convergence and Optimality of the EM Algorithm Under Multi-Component Gaussian Mixture Models (abstract)	Bingqing Li (UofT DoSS)
10:30–11:00	Quantifying Optimism and Model Comparison in Matrix Approximation: a Degrees of Freedom Approach (abstract)	Luis Sierra Muntané (UofT DoSS)

Coffee Break

Block 2: Applied Statistics

Chair: Bernard Miškić (UofT DoSS)

Time	Title	Speaker
11:15–11:45	Scalable Gaussian Process Inference via Deep Generative Models: A New Framework for High-Cadence Time Series (abstract)	Rodrigo Herrera (UofT DoSS)
11:45–12:15	Hierarchical Bayesian Copula Model for Probabilistic Population Projection (abstract)	Yichen Ji (UofT DoSS)

Lunch

Time: 12:15–13:15

Block 3: Mathematical Finance and Actuarial Science

Chair: PH Chan (UofT DoSS)

Time	Title	Speaker
13:15–13:45	Dynamic Pareto Optima in Multi-Period Pure-Exchange Economies (abstract)	Brandon Tam (UofT DoSS)
13:45–14:15	Adaptive Window Selection for Financial Risk Forecasting (abstract)	Chenxin Lyu (UWaterloo Stats)

Poster Session

Time: 14:15–15:30

Abstracts for the poster session are also available here.

Block 4: Machine Learning

Chair: KC Tsiolis (UofT DoSS)

Time	Title	Speaker
15:30–16:00	A Pragmatic Method for Comparing Clusterings with Overlaps and Outliers (abstract)	Ryan DeWolfe (TMU Mathematics)
16:00–16:30	Sequential Probability Assignment against Smoothed Adversaries with Unknown Base Measure (abstract)	Ziyi Liu (UofT DoSS)

Closing Remarks

Time: 16:30-16:30 + \(\varepsilon\)

Speaker: Luis Sierra Muntané (SGSU President)