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 …

Users linked together through a network often tend to have similar behaviors. This
phenomenon is usually known as network interaction. Users' characteristics, the covariates …

Online A/B tests have become increasingly popular and important for social platforms.
However, accurately estimating the global average treatment effect (GATE) has proven to be …

With the extensive use of digital devices, online experimental platforms are commonly used
to conduct experiments to collect data for evaluating different variations of products …

We consider the optimal experimental design problem of allocating subjects to treatment or
control when subjects participate in multiple, separate controlled experiments within a short …

Data-driven decision-making has become crucial across various domains. Randomization
and re-randomization are standard techniques employed in controlled experiments to …

In online experimentation, appropriate metrics (eg, purchase) provide strong evidence to
support hypotheses and enhance the decision-making process. However, incomplete …

A/B testing is an effective way to assess the potential impacts of two treatments. For A/B tests
conducted by IT companies, the test users of A/B testing are often connected and form a …

In the design and analysis of experiments, it is often assumed that experimental units are
independent, in the sense that the treatment assigned to one unit will not affect the potential …

Users linked together through a network often tend to have similar behaviors. This
phenomenon is usually known as network interactions, which can be demonstrated by the …