Följ
Luo Luo
Luo Luo
Verifierad e-postadress på fudan.edu.cn - Startsida
Titel
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Support matrix machines
L Luo, Y Xie, Z Zhang, WJ Li
International Conference on Machine Learning (ICML), 2015
1172015
Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems
L Luo, H Ye, Z Huang, T Zhang
Advances in Neural Information Processing Systems (NeurIPS), 2020
1062020
Multi-Consensus Decentralized Accelerated Gradient Descent
H Ye, L Luo, Z Zhou, T Zhang
Journal of Machine Learning Research (JMLR) 24 (306), 1-50, 2023
562023
SPSD matrix approximation vis column selection: theories, algorithms, and extensions
S Wang, L Luo, Z Zhang
Journal of Machine Learning Research (JMLR) 17 (1), 1697-1745, 2016
48*2016
Decentralized Accelerated Proximal Gradient Descent
H Ye, Z Zhou, L Luo, T Zhang
Advances in Neural Information Processing Systems (NeurIPS), 2020
252020
Approximate Newton methods and their local convergence
H Ye, L Luo, Z Zhang
International Conference on Machine Learning (ICML), 2017
242017
Robust frequent directions with application in online learning
L Luo, C Chen, Z Zhang, WJ Li, T Zhang
Journal of Machine Learning Research (JMLR) 20 (45), 1-41, 2019
232019
Finding second-order stationary points in nonconvex-strongly-concave minimax optimization.
L Luo, Y Li, C Chen
Advances in Neural Information Processing Systems (NeurIPS), 2022
212022
Lower Complexity Bounds for Finite-Sum Convex-Concave Minimax Optimization Problems
G Xie, L Luo, Y Lian, Z Zhang
International Conference on Machine Learning (ICML), 2020
192020
Approximate Newton Methods
H Ye, L Luo, Z Zhang
Journal of Machine Learning Research (JMLR) 22 (66), 1-41, 2021
18*2021
Frequent direction algorithms for approximate matrix multiplication with applications in CCA
Q Ye, L Luo, Z Zhang
International Joint Conference on Artificial Intelligence (IJCAI), 2016
182016
Quasi-Newton Hamiltonian Monte Carlo.
T Fu, L Luo, Z Zhang
Conference on Uncertainty in Artificial Intelligence (UAI), 2016
172016
Near Optimal Stochastic Algorithms for Finite-Sum Unbalanced Convex-Concave Minimax Optimization
L Luo, G Xie, T Zhang, Z Zhang
arXiv preprint arXiv:2106.01761, 2021
162021
Nesterov's Acceleration for Approximate Newton
H Ye, L Luo, Z Zhang
Journal of Machine Learning Research (JMLR) 21 (142), 1-37, 2020
152020
Faster Stochastic Algorithms for Minimax Optimization under Polyak-Łojasiewicz Condition
L Chen, B Yao, L Luo
Advances in Neural Information Processing Systems (NeurIPS), 2022
112022
Quasi-Newton Methods for Saddle Point Problems
C Liu, L Luo
Advances in Neural Information Processing Systems (NeurIPS), 2022
11*2022
A Stochastic Proximal Point Algorithm for Saddle-Point Problems
L Luo, C Chen, Y Li, G Xie, Z Zhang
arXiv preprint arXiv:1909.06946, 2019
102019
Efficient Projection-Free Algorithms for Saddle Point Problems
C Chen, L Luo, W Zhang, Y Yu
Advances in Neural Information Processing Systems (NeurIPS), 2020
92020
An Optimal Stochastic Algorithm for Decentralized Nonconvex Finite-sum Optimization
L Luo, H Ye
arXiv preprint arXiv:2210.13931, 2022
82022
Efficient and Robust High-Dimensional Linear Contextual Bandits
C Chen, L Luo, W Zhang, Y Yu, Y Lian
International Joint Conference on Artificial Intelligence (IJCAI), 2020
82020
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Artiklar 1–20