Rank aggregation with pairwise comparisons is widely encountered in sociology, politics,
economics, psychology, sports, etc. Given the enormous social impact and the consequent …

We propose a novel combinatorial inference framework to conduct general uncertainty
quantification in ranking problems. We consider the widely adopted Bradley-Terry-Luce …

Rank aggregation with pairwise comparisons has shown promising results in elections,
sports competitions, recommendations, and information retrieval. However, little attention …

Recent work on the limitations of using reinforcement learning from human feedback (RLHF)
to incorporate human preferences into model behavior often raises social choice theory as a …

In peer review, reviewers are usually asked to provide scores for the papers. The scores are
then used by Area Chairs or Program Chairs in various ways in the decision-making …

As a research community, the International Society of the Learning Sciences has always
worked hard to maintain representation across multiple dimensions of diversity, including …

This technical report studies the problem of ranking from pairwise comparisons in the
classical Bradley-Terry-Luce (BTL) model, with a focus on score estimation. For general …

We propose a novel combinatorial inference framework to conduct general uncertainty
quantification in ranking problems. We consider the widely adopted Bradley-Terry-Luce …

This thesis comprises two chapters that study the statistical inference problems for two types
of choice models, namely, the discrete voter model and the Bradley-Terry models …

This dissertation advances the field of modern statistical theory and methodology by
focusing on two primary areas: first, the quantification of uncertainty beyond mere estimation …