Statistical Methods for Computational Advertising (Online)
Videos from BIRS Workshop
David Banks, Duke University
Monday Oct 4, 2021 09:00 - 09:55
The Statistical Challenges of Computational Advertising
Tim Hesterberg, Google
Monday Oct 4, 2021 10:00 - 10:55
Surveys and Big Data for Estimating Brand Lift
Art Owen, Stanford University
Monday Oct 4, 2021 11:00 - 11:55
Efficiency of Tie-Breaking Designs
Mamadou Yauck, Université du Québec à Montréal
Monday Oct 4, 2021 12:00 - 12:55
Computational Advertising: A Capture-Recapture Perspective
Anru Zhang, Duke University
Monday Oct 4, 2021 14:30 - 14:55
High-order Clustering with Application in Click-through Prediction
Patrick LeBlanc, Duke University
Tuesday Oct 5, 2021 09:00 - 09:55
An Overview of Recommender System Theory
Deborshee Sen, University of Bath
Tuesday Oct 5, 2021 10:00 - 10:55
Cross-Domain Recommender Systems
Grace Yi, University of Western Ontario
Tuesday Oct 5, 2021 11:00 - 11:55
Unbiased Boosting Estimation for Censored Survival Data
Xuan Bi, University of Minnesota
Tuesday Oct 5, 2021 12:00 - 12:55
Improving Sales Forecasting Accuracy: A tensor factorization approach with demand awareness
Nathaniel Stevens, University of Waterloo
Tuesday Oct 5, 2021 14:00 - 14:55
Modern Design of Experiments for Computational Advertising
Yiyun Luo, UNC
Wednesday Oct 6, 2021 09:00 - 09:55
Distribution-Free Contextual Dynamic Pricing
Jason Poulos, Harvard Medical School
Wednesday Oct 6, 2021 11:00 - 11:35
Retrospective and Forward-Looking Counterfactual Imputation via Matrix Completion
Yi Guo, Duke University
Wednesday Oct 6, 2021 11:40 - 12:15
Multiparty Auctions without Common Knowledge
Maggie Mao, eBay
Wednesday Oct 6, 2021 12:20 - 12:55
eBay: The Fight for Best Practices in Experimentation
Guy Aridor, Columbia University
Thursday Oct 7, 2021 09:00 - 09:55
The Effect of Privacy Regulation on the Data Industry: Empirical Evidence from GDPR
Fiammetta Menchetti, University of Florence
Thursday Oct 7, 2021 10:00 - 10:55
ARIMA Models and Multivariate Bayesian Structural Models for Causal Inference from Sales Data
Ernest Fokoue, Rochester Institute of Technol
Thursday Oct 7, 2021 11:00 - 11:55
TBD
Ron Berman, Wharton School
Thursday Oct 7, 2021 12:00 - 12:55
Latent Stratification for Advertising Experiments
Edo Airoldi, Temple University
Thursday Oct 7, 2021 14:00 - 14:55
Estimating Peer-Influence Effects Under Homophily: Randomized Treatments and Insights.
Simon Mak, Duke University
Friday Oct 8, 2021 09:00 - 09:25
TSEC: a framework for online experimentation under experimental constraints
Sammy Natour, Vericast
Friday Oct 8, 2021 10:00 - 10:25
Programmatic Advertising for Scale, Efficiency, and Success
