When can we learn from biased samples? We study regression when outcomes are observed only after passing through selection filters that …
Machine learning (ML) is increasingly central to scientific discovery, but translating ML predictions into rigorous scientific claims …
We introduce a novel definition for a small set $R$ of $k$ points being representative of a larger set in a metric space. Given a set …
Multi-item revenue-optimal mechanisms are known to be extremely complex, often offering buyers randomized lotteries of goods. In the …