Yi-Qiao Jin

Maximum Likelihood Estimation for Entity Ranking under Iterative Synthetic Data Augmentation

We study entity ranking and inference under the Bradley--Terry--Luce (BTL) model using pairwise comparisons collected over sparse comparison graphs. In practice, collecting high-quality human judgments can be expensive and time-consuming, motivating the use of synthetic data augmentation in model training. We analyze a...