Cong Ma - RankMe

63 papers A* 11A 2Misc 2Journal 48

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Batched Nonparametric Contextual Bandits. IEEE Trans. Inf. Theory Rong Jiang, Cong Ma
2024	J	`jnl`	Batched Nonparametric Contextual Bandits. CoRR Rong Jiang, Cong Ma
2024	J	`jnl`	High-Probability Sample Complexities for Policy Evaluation With Linear Function Approximation. IEEE Trans. Inf. Theory Gen Li, Weichen Wu, Yuejie Chi, Cong Ma, Alessandro Rinaldo, Yuting Wei
2024	A*	`conf`	Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift. ICLR Jiawei Ge, Shange Tang, Jianqing Fan, Cong Ma, Chi Jin
2024	A*	`conf`	Off-policy estimation with adaptively collected data: the power of online learning. NeurIPS Jeonghwan Lee, Cong Ma
2024	J	`jnl`	Off-policy estimation with adaptively collected data: the power of online learning. CoRR Jeonghwan Lee, Cong Ma
2024	J	`jnl`	Random pairing MLE for estimation of item parameters in Rasch model. CoRR Yuepeng Yang, Cong Ma
2024	A*	`conf`	Top-K ranking with a monotone adversary. COLT Yuepeng Yang, Antares Chen, Lorenzo Orecchia, Cong Ma
2024	J	`jnl`	Trans-Glasso: A Transfer Learning Approach to Precision Matrix Estimation. CoRR Boxin Zhao, Cong Ma, Mladen Kolar
2023	A*	`conf`	Conformalized matrix completion. NeurIPS Yu Gui, Rina Barber, Cong Ma
2023	A*	`conf`	Jump-Start Reinforcement Learning. ICML Ikechukwu Uchendu, Ted Xiao, Yao Lu, Banghua Zhu, Mengyuan Yan, Joséphine Simon, Matthew Bennice, Chuyuan Fu, Cong Ma, Jiantao Jiao, Sergey Levine, Karol Hausman
2023	J	`jnl`	Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift. CoRR Jiawei Ge, Shange Tang, Jianqing Fan, Cong Ma, Chi Jin
2023	A*	`conf`	O(T ICLR Yuepeng Yang, Cong Ma
2023	J	`jnl`	Optimal Tuning-Free Convex Relaxation for Noisy Matrix Completion. IEEE Trans. Inf. Theory Yuepeng Yang, Cong Ma
2023	J	`jnl`	Provably Accelerating Ill-Conditioned Low-rank Estimation via Scaled Gradient Descent, Even with Overparameterization. CoRR Cong Ma, Xingyu Xu, Tian Tong, Yuejie Chi
2023	J	`jnl`	Sharp high-probability sample complexities for policy evaluation with linear function approximation. CoRR Gen Li, Weichen Wu, Yuejie Chi, Cong Ma, Alessandro Rinaldo, Yuting Wei
2023	A*	`conf`	The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing. ICML Xingyu Xu, Yandi Shen, Yuejie Chi, Cong Ma
2023	J	`jnl`	The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing. CoRR Xingyu Xu, Yandi Shen, Yuejie Chi, Cong Ma
2023	J	`jnl`	Unraveling Projection Heads in Contrastive Learning: Insights from Expansion and Shrinkage. CoRR Yu Gui, Cong Ma, Yiqiao Zhong
2022	J	`jnl`	$O(T^{-1})$ Convergence of Optimistic-Follow-the-Regularized-Leader in Two-Player Zero-Sum Markov Games. CoRR Yuepeng Yang, Cong Ma
2022	A*	`conf`	A new similarity measure for covariate shift with applications to nonparametric regression. ICML Reese Pathak, Cong Ma, Martin J. Wainwright
2022	J	`jnl`	A new similarity measure for covariate shift with applications to nonparametric regression. CoRR Reese Pathak, Cong Ma, Martin J. Wainwright
2022	Misc	`conf`	Accelerating ILL-Conditioned Robust Low-Rank Tensor Regression. ICASSP Tian Tong, Cong Ma, Yuejie Chi
2022	J	`jnl`	Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism. IEEE Trans. Inf. Theory Paria Rashidinejad, Banghua Zhu, Cong Ma, Jiantao Jiao, Stuart Russell
2022	J	`jnl`	Fast and Provable Tensor Robust Principal Component Analysis via Scaled Gradient Descent. CoRR Harry Dong, Tian Tong, Cong Ma, Yuejie Chi
2022	J	`jnl`	Jump-Start Reinforcement Learning. CoRR Ikechukwu Uchendu, Ted Xiao, Yao Lu, Banghua Zhu, Mengyuan Yan, Joséphine Simon, Matthew Bennice, Chuyuan Fu, Cong Ma, Jiantao Jiao, Sergey Levine, Karol Hausman
2022	J	`jnl`	Minimax Off-Policy Evaluation for Multi-Armed Bandits. IEEE Trans. Inf. Theory Cong Ma, Banghua Zhu, Jiantao Jiao, Martin J. Wainwright
2022	J	`jnl`	Optimal tuning-free convex relaxation for noisy matrix completion. CoRR Yuepeng Yang, Cong Ma
2022	J	`jnl`	Optimally tackling covariate shift in RKHS-based nonparametric regression. CoRR Cong Ma, Reese Pathak, Martin J. Wainwright
2022	A	`conf`	Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Completion. AISTATS Tian Tong, Cong Ma, Ashley Prater-Bennette, Erin E. Tripp, Yuejie Chi
2022	J	`jnl`	Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements. J. Mach. Learn. Res. Tian Tong, Cong Ma, Ashley Prater-Bennette, Erin E. Tripp, Yuejie Chi
2021	J	`jnl`	Accelerating Ill-Conditioned Low-Rank Matrix Estimation via Scaled Gradient Descent. J. Mach. Learn. Res. Tian Tong, Cong Ma, Yuejie Chi
2021	J	`jnl`	Beyond Procrustes: Balancing-Free Gradient Descent for Asymmetric Low-Rank Matrix Sensing. CoRR Cong Ma, Yuanxin Li, Yuejie Chi
2021	J	`jnl`	Beyond Procrustes: Balancing-Free Gradient Descent for Asymmetric Low-Rank Matrix Sensing. IEEE Trans. Signal Process. Cong Ma, Yuanxin Li, Yuejie Chi
2021	A*	`conf`	Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism. NeurIPS Paria Rashidinejad, Banghua Zhu, Cong Ma, Jiantao Jiao, Stuart Russell
2021	J	`jnl`	Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism. CoRR Paria Rashidinejad, Banghua Zhu, Cong Ma, Jiantao Jiao, Stuart Russell
2021	J	`jnl`	Learning Mixtures of Low-Rank Models. IEEE Trans. Inf. Theory Yanxi Chen, Cong Ma, H. Vincent Poor, Yuxin Chen
2021	J	`jnl`	Low-Rank Matrix Recovery With Scaled Subgradient Methods: Fast and Robust Convergence Without the Condition Number. IEEE Trans. Signal Process. Tian Tong, Cong Ma, Yuejie Chi
2021	J	`jnl`	Minimax Off-Policy Evaluation for Multi-Armed Bandits. CoRR Cong Ma, Banghua Zhu, Jiantao Jiao, Martin J. Wainwright
2021	J	`jnl`	Nonconvex Matrix Factorization From Rank-One Measurements. IEEE Trans. Inf. Theory Yuanxin Li, Cong Ma, Yuxin Chen, Yuejie Chi
2021	J	`jnl`	Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements. CoRR Tian Tong, Cong Ma, Ashley Prater-Bennette, Erin E. Tripp, Yuejie Chi
2021	J	`jnl`	Spectral Methods for Data Science: A Statistical Perspective. Found. Trends Mach. Learn. Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma
2020	J	`jnl`	Accelerating Ill-Conditioned Low-Rank Matrix Estimation via Scaled Gradient Descent. CoRR Tian Tong, Cong Ma, Yuejie Chi
2020	J	`jnl`	Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data. CoRR Yuxin Chen, Jianqing Fan, Cong Ma, Yuling Yan
2020	J	`jnl`	Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution. Found. Comput. Math. Cong Ma, Kaizheng Wang, Yuejie Chi, Yuxin Chen
2020	J	`jnl`	Learning Mixtures of Low-Rank Models. CoRR Yanxi Chen, Cong Ma, H. Vincent Poor, Yuxin Chen
2020	J	`jnl`	Low-Rank Matrix Recovery with Scaled Subgradient Methods: Fast and Robust Convergence Without the Condition Number. CoRR Tian Tong, Cong Ma, Yuejie Chi
2020	J	`jnl`	Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization. SIAM J. Optim. Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma, Yuling Yan
2020	J	`jnl`	Spectral Methods for Data Science: A Statistical Perspective. CoRR Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma
2019	J	`jnl`	A Selective Overview of Deep Learning. CoRR Jianqing Fan, Cong Ma, Yiqiao Zhong
2019	Misc	`conf`	Beyond Procrustes: Balancing-free Gradient Descent for Asymmetric Low-Rank Matrix Sensing. ACSSC Cong Ma, Yuanxin Li, Yuejie Chi
2019	J	`jnl`	Gradient descent with random initialization: fast global convergence for nonconvex phase retrieval. Math. Program. Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma
2019	J	`jnl`	Inference and Uncertainty Quantification for Noisy Matrix Completion. CoRR Yuxin Chen, Jianqing Fan, Cong Ma, Yuling Yan
2019	J	`jnl`	Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization. CoRR Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma, Yuling Yan
2019	A	`conf`	Nonconvex Matrix Factorization from Rank-One Measurements. AISTATS Yuanxin Li, Cong Ma, Yuxin Chen, Yuejie Chi
2018	J	`jnl`	Gradient Descent with Random Initialization: Fast Global Convergence for Nonconvex Phase Retrieval. CoRR Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma
2018	A*	`conf`	Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval and Matrix Completion. ICML Cong Ma, Kaizheng Wang, Yuejie Chi, Yuxin Chen
2018	J	`jnl`	Nonconvex Matrix Factorization from Rank-One Measurements. CoRR Yuanxin Li, Cong Ma, Yuxin Chen, Yuejie Chi
2017	J	`jnl`	Fast and Flexible Top- ACM Trans. Inf. Syst. Jing Zhang, Jie Tang, Cong Ma, Hanghang Tong, Yu Jing, Juanzi Li, Walter Luyten, Marie-Francine Moens
2017	J	`jnl`	Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion and Blind Deconvolution. CoRR Cong Ma, Kaizheng Wang, Yuejie Chi, Yuxin Chen
2017	J	`jnl`	Spectral Method and Regularized MLE Are Both Optimal for Top-$K$ Ranking. CoRR Yuxin Chen, Jianqing Fan, Cong Ma, Kaizheng Wang
2015	J	`jnl`	Panther: Fast Top-k Similarity Search in Large Networks. CoRR Jing Zhang, Jie Tang, Cong Ma, Hanghang Tong, Yu Jing, Juan-Zi Li
2015	A*	`conf`	Panther: Fast Top-k Similarity Search on Large Networks. KDD Jing Zhang, Jie Tang, Cong Ma, Hanghang Tong, Yu Jing, Juanzi Li