Tong, Tian
- Accelerating Ill-Conditioned Low-Rank Matrix Estimation via Scaled Gradient Descent
2020/05/18 by Tong, Tian, Ma, Cong, Chi, Yuejie · 7 citations
#FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Signal Processing (eess.SP) #electronic engineering #information engineering
- Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements
2021/04/29 by Tian Tong, Tong, Tian, Cong Ma +7 · 9 citations
Mathematics · Engineering · Medicine · #Tensor decomposition and applications #Sparse and Compressive Sensing Techniques #Advanced Neuroimaging Techniques and Applications
- Fast and Provable Tensor Robust Principal Component Analysis via Scaled Gradient Descent
2022/06/18 by Harry Dong, Tian Tong, Dong, Harry +5 · 3 citations
Mathematics · Medicine · #Advanced Neuroimaging Techniques and Applications #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Signal Processing (eess.SP) #Tensor decomposition and applications #electronic engineering #information engineering
- Provably Accelerating Ill-Conditioned Low-rank Estimation via Scaled Gradient Descent, Even with Overparameterization
2023/10/09 by Ma, Cong, Xu, Xingyu, Tong, Tian +1 · 2 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
- Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning
2024/05/05 by Tianchen Zhou, FNU Hairi, Zhou, Tianchen +13 · 2 citations
Computer Science · Neuroscience · #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural dynamics and brain function #Reinforcement Learning in Robotics