6 papers
Bradley-Terry model under general comparison graphs
Ruijian Han, Yuanhang Luo, Yiming Xu
The Bradley-Terry model is a parametric model for ranking from pairwise comparisons. Existing asymptotic theory for the maximum likelihood estimator (MLE) in regimes where the numb…
Deep Ranking with Heterogeneous Effects
Yuanhang Luo, Shuxing Fang, Ruijian Han +1
Classical latent-score ranking models often fail to distinguish objects' intrinsic scores from contextual effects, which are typically nonlinear and can dominate the observed outco…
Recent advances in the Bradley--Terry Model: theory, algorithms, and applications
Shuxing Fang, Ruijian Han, Yuanhang Luo +1
This article surveys recent advances in the Bradley-Terry (BT) model and its extensions. We focus on statistical and computational aspects, with particular emphasis on the regime i…
Learning Guarantee of Reward Modeling Using Deep Neural Networks
Yuanhang Luo, Yeheng Ge, Ruijian Han +1
In this work, we study the learning theory of reward modeling with pairwise comparison data using deep neural networks. We establish a novel non-asymptotic regret bound for deep re…
CogSimulator: A Model for Simulating User Cognition & Behavior with Minimal Data for Tailored Cognitive Enhancement
Weizhen Bian, Yubo Zhou, Yuanhang Luo +6
The interplay between cognition and gaming, notably through educational games enhancing cognitive skills, has garnered significant attention in recent years. This research introduc…
Adaptive debiased SGD in high-dimensional GLMs with streaming data
Ruijian Han, Lan Luo, Yuanhang Luo +2
Online statistical inference facilitates real-time analysis of sequentially collected data, making it different from traditional methods that rely on static datasets. This paper in…