Chen, Hongjie

5 publications

NeurIPS 2025 Improved Robust Estimation for Erdős-Rényi Graphs: The Sparse Regime and Optimal Breakdown Point Hongjie Chen, Jingqiu Ding, Yiding Hua, Stefan Tiegel

TMLR 2025 Personalization of Large Language Models: A Survey Zhehao Zhang, Ryan A. Rossi, Branislav Kveton, Yijia Shao, Diyi Yang, Hamed Zamani, Franck Dernoncourt, Joe Barrow, Tong Yu, Sungchul Kim, Ruiyi Zhang, Jiuxiang Gu, Tyler Derr, Hongjie Chen, Junda Wu, Xiang Chen, Zichao Wang, Subrata Mitra, Nedim Lipka, Nesreen K. Ahmed, Yu Wang

NeurIPS 2024 Private Edge Density Estimation for Random Graphs: Optimal, Efficient and Robust Hongjie Chen, Jingqiu Ding, Yiding Hua, David Steurer

NeurIPS 2023 Private Estimation Algorithms for Stochastic Block Models and Mixture Models Hongjie Chen, Vincent Cohen-Addad, Tommaso d’Orsi, Alessandro Epasto, Jacob Imola, David Steurer, Stefan Tiegel

COLT 2022 On the Well-Spread Property and Its Relation to Linear Regression Hongjie Chen, Tommaso d’Orsi