Sheng Chen

13 papers A* 3A 3Journal 2Unranked 5

Year	Rank	Type	Title / Venue / Authors
2018	A*	`conf`	An Improved Analysis of Alternating Minimization for Structured Multi-Response Regression. NeurIPS Sheng Chen, Arindam Banerjee
2018	A	`conf`	Sparse Linear Isotonic Models. AISTATS Sheng Chen, Arindam Banerjee
2018	A	`conf`	Stable Gradient Descent. UAI Yingxue Zhou, Sheng Chen, Arindam Banerjee
2017	—	`conf`	Alternating Estimation for Structured High-Dimensional Multi-Response Models. NIPS Sheng Chen, Arindam Banerjee
2017	A*	`conf`	Robust Structured Estimation with Single-Index Models. ICML Sheng Chen, Arindam Banerjee
2016	—	`conf`	Structured Matrix Recovery via the Generalized Dantzig Selector. NIPS Sheng Chen, Arindam Banerjee
2015	J	`jnl`	Estimation with Norm Regularization. CoRR Arindam Banerjee, Sheng Chen, Farideh Fazayeli, Vidyashankar Sivakumar
2015	A	`conf`	One-bit Compressed Sensing with the k-Support Norm. AISTATS Sheng Chen, Arindam Banerjee
2015	A*	`conf`	Open Problem: Restricted Eigenvalue Condition for Heavy Tailed Designs. COLT Arindam Banerjee, Sheng Chen, Vidyashankar Sivakumar
2015	—	`conf`	Structured Estimation with Atomic Norms: General Bounds and Applications. NIPS Sheng Chen, Arindam Banerjee
2014	—	`conf`	Estimation with Norm Regularization. NIPS Arindam Banerjee, Sheng Chen, Farideh Fazayeli, Vidyashankar Sivakumar
2014	—	`conf`	Generalized Dantzig Selector: Application to the k-support norm. NIPS Soumyadeep Chatterjee, Sheng Chen, Arindam Banerjee
2014	J	`jnl`	Generalized Dantzig Selector: Application to the k-support norm. CoRR Soumyadeep Chatterjee, Sheng Chen, Arindam Banerjee