works on

From the 1 of 6 linked papers with an AI index.

collaborators

6 papers

eess.SP2026

Local Maxima of the Entrywise Norm on the Orthogonal Group

Dian Jin

The paper classifies all local (and thus global) maximizers of the entrywise fourth-power norm on real orthogonal matrices, showing that only signed permutation matrices achieve th…

math.OC2026

On the sensitivity of the subspace predictor to behavioral perturbations

Dian Jin, Jeremy Coulson

Behavioral systems define discrete-time LTI systems in terms of a set of trajectories, which forms a linear subspace. This subspace underlies the subspace predictor used in data-dr…

stat.ML2026

Cost-optimal Sequential Testing via Doubly Robust Q-learning

Doudou Zhou, Yiran Zhang, Dian Jin +3

Clinical decision-making often involves selecting tests that are costly, invasive, or time-consuming, motivating individualized, sequential strategies for what to measure and when…

cs.LG2025

One-shot Robust Federated Learning of Independent Component Analysis

Dian Jin, Xin Bing, Yuqian Zhang

This paper studies robust one-shot aggregation for distributed and federated Independent Component Analysis (ICA). In this setting, each client computes a local ICA estimator, whil…

stat.ML2025

Optimal vintage factor analysis with deflation varimax

Xin Bing, Xin He, Dian Jin +1

Vintage factor analysis is one important type of factor analysis that aims to first find a low-dimensional representation of the original data, and then to seek a rotation such tha…

stat.ML2025

Community Detection for Contextual-LSBM: Theoretical Limitations of Misclassification Rate and Efficient Algorithms

Dian Jin, Yuqian Zhang, Qiaosheng Zhang

The integration of network information and node attribute information has recently gained significant attention in the community detection literature. In this work, we consider com…