The rise of internet-based services and products in the late 1990s brought about an
unprecedented opportunity for online businesses to engage in large scale data-driven …

The world is in the midst of a pandemic. We still know little about the disease COVID-19 or
about the virus (SARS-CoV-2) that causes it. We do not have a vaccine or a treatment (aside …

Unmeasured confounding poses a significant threat to the validity of causal inference.
Despite that various ad hoc methods are developed to remove confounding effects, they are …

Abstract Context: Software Quality Assurance (SQA) is a fundamental part of software
engineering to ensure stakeholders that software products work as expected after release in …

Abstract The Linear Threshold Model is a widely used model that describes how information
diffuses through a social network. According to this model, an individual adopts an idea or …

Subgroup analysis of treatment effects plays an important role in applications from medicine
to public policy to recommender systems. It allows physicians (for example) to identify …

In the ecology of short video platforms, the optimal exposure proportion of each video
category is crucial to guide recommendation systems and content production in a …

In Disability Employment Services (DES), a growing problem is recommending to disabled
job seekers which skill should be upgraded and the best level for upgrading this skill to …

Digital experiments are routinely used to test the value of a treatment relative to a status-quo
control setting—for instance, a new search relevance algorithm for a website or a new …

Estimating how a treatment affects different individuals, known as heterogeneous treatment
effect estimation, is an important problem in empirical sciences. In the last few years, there …