Online data has the potential to transform how researchers and companies produce election forecasts. Social media surveys, online panels, and even comments scraped from the internet can offer valuable ...

Abstract: Recommender systems are designed to learn user preferences from observed feedback and comprise many fundamental tasks, such as rating prediction and post-click conversion rate (pCVR) ...

Abstract: The shift between the training and testing distributions is commonly due to sample selection bias, a type of bias caused by non-random sampling of examples to be included in the training set ...

I’ve worded the paper’s conclusion carefully, following the lead of Chilton and Levy. Their paper, posted at SSRN in November and entitled, “Challenging the Randomness of Panel Assignment in the ...