Követés
Jiajin Li
Cím
Hivatkozott rá
Hivatkozott rá
Év
Rethinking graph neural networks for anomaly detection
J Tang, J Li, Z Gao, J Li
International Conference on Machine Learning, 21076-21089, 2022
1362022
Understanding notions of stationarity in nonsmooth optimization: A guided tour of various constructions of subdifferential for nonsmooth functions
J Li, AMC So, WK Ma
IEEE Signal Processing Magazine 37 (5), 18-31, 2020
472020
Dirichlet graph variational autoencoder
J Li, J Yu, J Li, H Zhang, K Zhao, Y Rong, H Cheng, J Huang
Advances in Neural Information Processing Systems 33, 5274-5283, 2020
452020
A First-Order Algorithmic Framework for Distributionally Robust Logistic Regression
J Li, S Huang, AMC So
Advances in Neural Information Processing Systems 32, 3937-3947, 2019
262019
Deconvolutional networks on graph data
J Li, J Li, Y Liu, J Yu, Y Li, H Cheng
Advances in Neural Information Processing Systems 34, 21019-21030, 2021
232021
Fast epigraphical projection-based incremental algorithms for wasserstein distributionally robust support vector machine
J Li, C Chen, AMC So
Advances in Neural Information Processing Systems 33, 4029-4039, 2020
222020
Field-aware probabilistic embedding neural network for CTR prediction
W Liu, R Tang, J Li, J Yu, H Guo, X He, S Zhang
Proceedings of the 12th ACM Conference on Recommender Systems, 412-416, 2018
222018
A convergent single-loop algorithm for relaxation of gromov-wasserstein in graph data
J Li, J Tang, L Kong, H Liu, J Li, AMC So, J Blanchet
arXiv preprint arXiv:2303.06595, 2023
16*2023
Psrec: social recommendation with pseudo ratings
Y Meng, G Chen, J Li, S Zhang
Proceedings of the 12th ACM Conference on Recommender Systems, 397-401, 2018
122018
Robust attributed graph alignment via joint structure learning and optimal transport
J Tang, W Zhang, J Li, K Zhao, F Tsung, J Li
2023 IEEE 39th International Conference on Data Engineering (ICDE), 1638-1651, 2023
112023
Wasserstein Distributionally Robust Linear-Quadratic Estimation under Martingale Constraints
K Lotidis, N Bambos, J Blanchet, J Li
International Conference on Artificial Intelligence and Statistics, 8629-8644, 2023
92023
Modified Frank Wolfe in probability space
C Kent, J Li, J Blanchet, PW Glynn
Advances in Neural Information Processing Systems 34, 14448-14462, 2021
92021
Distributionally robust optimization and robust statistics
J Blanchet, J Li, S Lin, X Zhang
arXiv preprint arXiv:2401.14655, 2024
82024
Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization
T Zheng, L Zhu, AMC So, J Blanchet, J Li
NeurIPS, 2023
8*2023
Tikhonov regularization is optimal transport robust under martingale constraints
J Li, S Lin, J Blanchet, VA Nguyen
Advances in Neural Information Processing Systems 35, 17677-17689, 2022
82022
Nonsmooth Nonconvex-Nonconcave Minimax Optimization: Primal-Dual Balancing and Iteration Complexity Analysis
J Li, L Zhu, AMC So
6*2023
A splitting scheme for flip-free distortion energies
O Stein, J Li, J Solomon
SIAM Journal on Imaging Sciences 15 (2), 925-959, 2022
62022
Unifying distributionally robust optimization via optimal transport theory
J Blanchet, D Kuhn, J Li, B Taskesen
arXiv preprint arXiv:2308.05414, 2023
42023
Policy optimization with second-order advantage information
J Li, B Wang
arXiv preprint arXiv:1805.03586, 2018
42018
Automatic outlier rectification via optimal transport
J Blanchet, J Li, M Pelger, G Zanotti
arXiv preprint arXiv:2403.14067, 2024
32024
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