Hongjie Chen

11 papers A* 5Journal 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Improved Robust Estimation for Erdős-Rényi Graphs: The Sparse Regime and Optimal Breakdown Point. CoRR Hongjie Chen, Jingqiu Ding, Yiding Hua, Stefan Tiegel
2025	A*	`conf`	Outlier-robust Mean Estimation near the Breakdown Point via Sum-of-Squares. SODA Hongjie Chen, Deepak Narayanan Sridharan, David Steurer
2024	J	`jnl`	Outlier-robust Mean Estimation near the Breakdown Point via Sum-of-Squares. CoRR Hongjie Chen, Deepak Narayanan Sridharan, David Steurer
2024	A*	`conf`	Private Edge Density Estimation for Random Graphs: Optimal, Efficient and Robust. NeurIPS Hongjie Chen, Jingqiu Ding, Yiding Hua, David Steurer
2024	J	`jnl`	Private Edge Density Estimation for Random Graphs: Optimal, Efficient and Robust. CoRR Hongjie Chen, Jingqiu Ding, Yiding Hua, David Steurer
2024	A*	`conf`	Private Graphon Estimation via Sum-of-Squares. STOC Hongjie Chen, Jingqiu Ding, Tommaso d'Orsi, Yiding Hua, Chih-Hung Liu, David Steurer
2024	J	`jnl`	Private graphon estimation via sum-of-squares. CoRR Hongjie Chen, Jingqiu Ding, Tommaso d'Orsi, Yiding Hua, Chih-Hung Liu, David Steurer
2023	A*	`conf`	Private estimation algorithms for stochastic block models and mixture models. NeurIPS Hongjie Chen, Vincent Cohen-Addad, Tommaso d'Orsi, Alessandro Epasto, Jacob Imola, David Steurer, Stefan Tiegel
2023	J	`jnl`	Private estimation algorithms for stochastic block models and mixture models. CoRR Hongjie Chen, Vincent Cohen-Addad, Tommaso d'Orsi, Alessandro Epasto, Jacob Imola, David Steurer, Stefan Tiegel
2022	A*	`conf`	On the well-spread property and its relation to linear regression. COLT Hongjie Chen, Tommaso d'Orsi
2022	J	`jnl`	On the well-spread property and its relation to linear regression. CoRR Hongjie Chen, Tommaso d'Orsi