Hongjie Chen

According to our database, Hongjie Chen authored at least 7 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

On efficient robust regression with subquadratic samples.

Deeksha Adil, Jaroslaw Blasiok, Hongjie Chen, Deepak Narayanan Sridharan

CoRR, May, 2026

2025

Outlier-robust Mean Estimation near the Breakdown Point via Sum-of-Squares.

Hongjie Chen, Deepak Narayanan Sridharan, David Steurer

Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms, 2025

Improved Robust Estimation for Erdős-Rényi Graphs: The Sparse Regime and Optimal Breakdown Point.

Hongjie Chen, Jingqiu Ding, Yiding Hua, Stefan Tiegel

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Private Graphon Estimation via Sum-of-Squares.

Hongjie Chen, Jingqiu Ding, Tommaso d'Orsi, Yiding Hua, Chih-Hung Liu, David Steurer

Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 2024

Private Edge Density Estimation for Random Graphs: Optimal, Efficient and Robust.

Hongjie Chen, Jingqiu Ding, Yiding Hua, David Steurer

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

On the well-spread property and its relation to linear regression.

Hongjie Chen, Tommaso d'Orsi

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022