BIRS Live Stream Schedule

Below is the schedule of talks, not necessarily those that will be broadcast. We encourage participants to record and broadcast their talks, but it is up to them to press the button.

Mathematical Statistics and Learning (Nov 28 to Dec 3)

Today between 10:30 and 11:00 MDT [2021-11-29T10:30:00.00-06:00]
Bin Yu of University of Berkeley, Provable Recovery of Boolean Interactions based on Random Forests
Today between 13:30 and 14:00 MDT [2021-11-29T13:30:00.00-06:00]
Roberto Imbuzeiro Oliveira of IMPA, The contact process over a switching random d-regular graph
Today between 14:20 and 14:50 MDT [2021-11-29T14:20:00.00-06:00]
Ilias Diakonikolas of University of Wisconsin-Madison, Non-Gaussian Component Analysis: Statistical Query Hardness and its Applications
Tomorrow between 10:30 and 11:00 MDT [2021-11-30T10:30:00.00-06:00]
Andrew Nobel of University of North Carolina at Chapel Hill, Estimation of Stationary Optimal Transport Plans
Tomorrow between 11:00 and 11:30 MDT [2021-11-30T11:00:00.00-06:00]
Yury Polyanskiy of Massachusetts Institute of Technology, Rates of convergence of Gaussian smoothed empirical measures in Wasserstein and KL distances
Tomorrow between 13:30 and 14:00 MDT [2021-11-30T13:30:00.00-06:00]
Yihong Wu of Yale University, Self-regularization of nonparametric maximum likelihood in mixture models
Tomorrow between 14:00 and 14:30 MDT [2021-11-30T14:00:00.00-06:00]
Ery Arias-Castro of UCSD, On Using Graph Distances to Estimate Euclidean and Related Distances
Tomorrow between 14:30 and 15:00 MDT [2021-11-30T14:30:00.00-06:00]
Nikita Zhivotovskiy of ETH Zurich, Some recent results on Algorithmic Stability
Wednesday December 1 between 10:30 and 11:00 MDT [2021-12-01T10:30:00.00-06:00]
Varun Jog of University of Cambridge, Communication-efficient hypothesis testing
Wednesday December 1 between 11:00 and 11:30 MDT [2021-12-01T11:00:00.00-06:00]
Emilie Kaufmann of CNRS & Université de Lille, Non-parametric exploration in multi-armed bandits
Thursday December 2 between 10:30 and 11:00 MDT [2021-12-02T10:30:00.00-06:00]
Miklos Racz of Princeton University, Correlated stochastic block models: graph matching and community recovery
Thursday December 2 between 11:00 and 11:30 MDT [2021-12-02T11:00:00.00-06:00]
Afonso Bandeira of ETH Zurich, Noncommutative Matrix Concentration Inequalities
Thursday December 2 between 13:30 and 14:00 MDT [2021-12-02T13:30:00.00-06:00]
Morgane Austern of Harvard University
Thursday December 2 between 14:00 and 14:30 MDT [2021-12-02T14:00:00.00-06:00]
Shai Ben-David of University of Waterloo

Emerging Insights in Insurance Statistics (Jan 16 to 21)

Monday January 17 between 09:00 and 09:30 MDT [2022-01-17T09:00:00.00-06:00]
Etienne Marceau of Laval University, Rethinking Representations in P&C Actuarial Science with Deep Neural Networks
Monday January 17 between 09:30 and 10:00 MDT [2022-01-17T09:30:00.00-06:00]
Mattia Borrelli of Swiss Re, From Unstructured Data and Word Vectorization to Meaning: Text Mining in Insurance
Monday January 17 between 10:30 and 11:00 MDT [2022-01-17T10:30:00.00-06:00]
Mary Hardy of University of Waterloo, Construction of A Consolidated Database of Motor Vehicle Traffic Accidents
Monday January 17 between 11:00 and 11:30 MDT [2022-01-17T11:00:00.00-06:00]
Changyue Hu of University of Illinois at Urbana-Champaign, Imbalanced Learning Using Actuarial Modified Loss Function in Tree-Based Models
Monday January 17 between 15:30 and 16:00 MDT [2022-01-17T15:30:00.00-06:00]
Marie Michaelides of Université du Québec à Montréal, Individual Loss Reserving Using Activation Patterns
Monday January 17 between 16:00 and 16:30 MDT [2022-01-17T16:00:00.00-06:00]
Hyunwoong Chang of Texas A&M University, A Non-Convex Regularization Approach for Stable Estimation of Loss Development Factors
Monday January 17 between 16:30 and 17:00 MDT [2022-01-17T16:30:00.00-06:00]
Jordy Menvouta of K.U. Leuven Belgium, Comparing Machine Learning Models for Micro-level Reserving
Monday January 17 between 17:00 and 17:30 MDT [2022-01-17T17:00:00.00-06:00]
Daniel Bauer of University of Wisconsin - Madison, Overview on the Estimation of Capital Requirements
Tuesday January 18 between 09:00 and 10:00 MDT [2022-01-18T09:00:00.00-06:00]
Dipak Dey of University of Connecticut, Spatial Modeling of Insurance Claim Data Using Tweedie Distribution
Tuesday January 18 between 10:30 and 11:00 MDT [2022-01-18T10:30:00.00-06:00]
Liang Peng of Georgia State University, Three-Step Risk Inference In Insurance Ratemaking
Tuesday January 18 between 11:00 and 11:30 MDT [2022-01-18T11:00:00.00-06:00]
Peng Shi of University of Wisconsin-Madison, Enhancing Claims Triage with Dynamic Data
Tuesday January 18 between 14:00 and 14:30 MDT [2022-01-18T14:00:00.00-06:00]
Zhiyu Quan of University of Illinois at Urbana-Champaign, Improving Business Insurance Loss Models by Leveraging InsurTech Innovation
Tuesday January 18 between 14:30 and 15:00 MDT [2022-01-18T14:30:00.00-06:00]
Tianxing Yan of Simon Fraser University, Posterior Ratemaking of Compound Loss Using Longitudinal Data with EM Algorithm
Tuesday January 18 between 15:30 and 16:00 MDT [2022-01-18T15:30:00.00-06:00]
Christopher Blier-Wong of Laval University, Ratemaking with Bayesian Neural Networks under Dependence
Tuesday January 18 between 16:00 and 16:30 MDT [2022-01-18T16:00:00.00-06:00]
Lisa Gao of University of Wisconsin - Madison, Leveraging High-Resolution Weather Information to Predict Hail Damage Claims: A Spatial Point Process for Replicated Point Patterns
Tuesday January 18 between 16:30 and 17:00 MDT [2022-01-18T16:30:00.00-06:00]
Gee Lee of Michigan State University, Dependence and Insurance Portfolio Risk Retention
Tuesday January 18 between 17:00 and 17:30 MDT [2022-01-18T17:00:00.00-06:00]
Tsz Chai Fung of Georgia State University, Robust Modelling and Model Diagnostics of Insurance Loss Data: A Weighted Likelihood Approach
Wednesday January 19 between 09:00 and 10:00 MDT [2022-01-19T09:00:00.00-06:00]
Arthur Charpentier of Universite du Quebec a Montreal (UQAM), Insurance, Discrimination and Fairness
Wednesday January 19 between 10:30 and 11:00 MDT [2022-01-19T10:30:00.00-06:00]
Himchan Jeong of Simon Fraser University, Approximation of Poisson Credibility Premium with Zero-Inflation or Multiple Coverages
Wednesday January 19 between 11:00 and 11:30 MDT [2022-01-19T11:00:00.00-06:00]
Edward (Jed) Frees of University of Wisconsin- Madison, Open Actuarial Educational Resources
Thursday January 20 between 09:00 and 10:00 MDT [2022-01-20T09:00:00.00-06:00]
Andrew Cairns of Heriot-Watt University, The Impact of Covid-19 on Higher-Age Mortality
Thursday January 20 between 10:30 and 11:00 MDT [2022-01-20T10:30:00.00-06:00]
Michael Ludkovski of University of California - Santa Barbara, Multi-output Gaussian Processes for Longevity Analysis
Thursday January 20 between 11:00 and 11:30 MDT [2022-01-20T11:00:00.00-06:00]
Brian Hartman of Brigham Young University, Modeling County-level Spatio-temporal Mortality Rates using Dynamic Linear Models
Thursday January 20 between 14:00 and 14:30 MDT [2022-01-20T14:00:00.00-06:00]
Maggie Sun of Simon Fraser University, A Generalized Linear Mixed Model for Cyber Breaches
Thursday January 20 between 14:30 and 15:00 MDT [2022-01-20T14:30:00.00-06:00]
Yang Lu of Concordia University, Cyber Risk Modeling: A Discrete Multivariate Count Process Approach
Thursday January 20 between 15:30 and 16:00 MDT [2022-01-20T15:30:00.00-06:00]
Silvana Pesenti of University of Toronto, Portfolio Optimisation within a Wasserstein Ball
Thursday January 20 between 16:00 and 16:30 MDT [2022-01-20T16:00:00.00-06:00]
Anatoliy Swishchuk of University of Calgary, Applications of Hawkes Processes in Insurance
Thursday January 20 between 16:30 and 17:00 MDT [2022-01-20T16:30:00.00-06:00]
Jean-François Bégin of Simon Fraser University, On Complex Economic Scenario Generators: Is Less More?
Thursday January 20 between 17:00 and 17:30 MDT [2022-01-20T17:00:00.00-06:00]
Emma Kroell of University of Toronto, Reverse Sensitivity Testing for Stochastic Processes
Friday January 21 between 09:00 and 10:00 MDT [2022-01-21T09:00:00.00-06:00]
Ronald Richman of Old Mutual Insure, University of the Witwatersrand, Directions in Explainable Deep Learning Models