Online Community Detection for Event Streams on Networks. - Guanhua Fang; Owen G. Ward; Tian Zheng (CoRR, 2020)

On Estimation in Latent Variable Models. - Guanhua Fang; Ping Li 001 (ICML, 2021)

On Variational Inference in Biclustering Models. - Guanhua Fang; Ping Li 001 (ICML, 2021)

A Note on Sparse Generalized Eigenvalue Problem. - Yunfeng Cai; Guanhua Fang; Ping Li 001 (NeurIPS, 2021)

Efficient greedy coordinate descent via variable partitioning. - Huang Fang; Guanhua Fang; Tan Yu; Ping Li 001 (UAI, 2021)

Minimax M-estimation under Adversarial Contamination. - Sujay Bhatt; Guanhua Fang; Ping Li 001; Gennady Samorodnitsky (ICML, 2022)

Nearly Optimal Catoni's M-estimator for Infinite Variance. - Sujay Bhatt; Guanhua Fang; Ping Li 001; Gennady Samorodnitsky (ICML, 2022)

Sensitivity of Under-Determined Linear System. - Yunfeng Cai; Guanhua Fang; Ping Li 001 (ISIT, 2022)

Regret Analysis for RL using Renewal Bandit Feedback. - Sujay Bhatt; Guanhua Fang; Ping Li 001; Gennady Samorodnitsky (ITW, 2022)

Offline change detection under contamination. - Sujay Bhatt; Guanhua Fang; Ping Li 001 (UAI, 2022)

Catoni-style Confidence Sequences under Infinite Variance. - Sujay Bhatt; Guanhua Fang; Ping Li 001; Gennady Samorodnitsky (CoRR, 2022)

On Penalization in Stochastic Multi-armed Bandits. - Guanhua Fang; Ping Li; Gennady Samorodnitsky (CoRR, 2022)

Piecewise Stationary Bandits under Risk Criteria. - Sujay Bhatt; Guanhua Fang; Ping Li 001 (AISTATS, 2023)

Regression with Label Permutation in Generalized Linear Model. - Guanhua Fang; Ping Li 001 (ICML, 2023)

Copula for Instance-wise Feature Selection and Rank. - Hanyu Peng; Guanhua Fang; Ping Li 001 (UAI, 2023)

A Cover Time Study of a non-Markovian Algorithm. - Guanhua Fang; Gennady Samorodnitsky; Zhiqiang Xu (CoRR, 2023)

Copula for Instance-wise Feature Selection and Ranking. - Hanyu Peng; Guanhua Fang; Ping Li (CoRR, 2023)

Empirical Risk Minimization for Losses without Variance. - Guanhua Fang; Ping Li; Gennady Samorodnitsky (CoRR, 2023)

On provable privacy vulnerabilities of graph representations. - Ruofan Wu; Guanhua Fang; Mingyang Zhang 004; Qiying Pan; Tengfei Liu; Weiqiang Wang 002 (NeurIPS, 2024)

On provable privacy vulnerabilities of graph representations. - Ruofan Wu; Guanhua Fang; Qiying Pan; Mingyang Zhang 004; Tengfei Liu; Weiqiang Wang 002; Wenbiao Zhao (CoRR, 2024)

On Non-asymptotic Theory of Recurrent Neural Networks in Temporal Point Processes. - Zhiheng Chen; Guanhua Fang; Wen Yu (CoRR, 2024)

Online estimation and community detection of network point processes for event streams. - Guanhua Fang; Owen G. Ward; Tian Zheng (Stat. Comput., 2024)

Learning under Commission and Omission Event Outliers. - Yuecheng Zhang; Guanhua Fang; Wen Yu (CoRR, 2025)

On Penalization in Stochastic Multi-Armed Bandits. - Guanhua Fang; Ping Li 001; Gennady Samorodnitsky (IEEE Trans. Inf. Theory, 2025)

Transformers as Unsupervised Learning Algorithms: A study on Gaussian Mixtures. - Zhiheng Chen; Ruofan Wu; Guanhua Fang (CoRR, 2025)