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Liu Liu
Liu Liu
Tencent AI Lab
Adresă de e-mail confirmată pe tencent.com - Pagina de pornire
Titlu
Citat de
Citat de
Anul
High Dimensional Robust Sparse Regression
L Liu, Y Shen, T Li, C Caramanis
International Conference on Artificial Intelligence and Statistics, 411--421, 2020
822020
3EF: Class-Incremental Learning via Efficient Energy-Based Expansion and Fusion
FY Wang, DW Zhou, L Liu, Y Bian, HJ Ye, DC Zhan, P Zhao
International Conference on Learning Representations, 2023
64*2023
Statistical inference using SGD
T Li, L Liu, A Kyrillidis, C Caramanis
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
572018
Robust compressed sensing using generative models
A Jalal, L Liu, AG Dimakis, C Caramanis
Advances in Neural Information Processing Systems 33, 713-727, 2020
52*2020
Umix: Improving importance weighting for subpopulation shift via uncertainty-aware mixup
Z Han, Z Liang, F Yang, L Liu, L Li, Y Bian, P Zhao, B Wu, C Zhang, J Yao
Advances in Neural Information Processing Systems 35, 37704-37718, 2022
442022
High Dimensional Robust -Estimation: Arbitrary Corruption and Heavy Tails
L Liu, T Li, C Caramanis
arXiv preprint arXiv:1901.08237, 2019
35*2019
Robust Imitation Learning from Corrupted Demonstrations
L Liu, Z Tang, L Li, D Luo
arXiv preprint arXiv:2201.12594, 2022
82022
Approximate Newton-based statistical inference using only stochastic gradients
T Li, A Kyrillidis, L Liu, C Caramanis
arXiv preprint arXiv:1805.08920, 2018
52018
Pareto Deep Long-Tailed Recognition: A Conflict-Averse Solution
Z Zhou, L Liu, P Zhao, W Gong
The Twelfth International Conference on Learning Representations, 2024
42024
Reweighted Mixup for Subpopulation Shift
Z Han, Z Liang, F Yang, L Liu, L Li, Y Bian, P Zhao, Q Hu, B Wu, C Zhang, ...
arXiv preprint arXiv:2304.04148, 2023
42023
Rethinking Safe Policy Learning for Complex Constraints Satisfaction: A Glimpse in Real-Time Security Constrained Economic Dispatch Integrating Energy Storage Units
J Hu, Y Ye, Y Wu, P Zhao, L Liu
IEEE Transactions on Power Systems, 2024
32024
Deploying Offline Reinforcement Learning with Human Feedback
Z Li, K Xu, L Liu, L Li, D Ye, P Zhao
arXiv preprint arXiv:2303.07046, 2023
32023
Robust Offline Reinforcement Learning with Gradient Penalty and Constraint Relaxation
C Gao, K Xu, L Liu, D Ye, P Zhao, Z Xu
arXiv preprint arXiv:2210.10469, 2022
32022
Chance Constrained MDP Formulation and Bayesian Advantage Policy Optimization for Stochastic Dynamic Optimal Power Flow
Y Wu, Y Ye, J Hu, P Zhao, L Liu, G Strbac, C Kang
IEEE Transactions on Power Systems, 2024
22024
Differentiable Frank-Wolfe Optimization Layer
Z Liu, L Liu, X Wang, P Zhao
arXiv preprint arXiv:2308.10806, 2023
2023
Dynamics Adapted Imitation Learning
Z Liu, L Liu, B Wu, L Li, X Wang, B Yuan, P Zhao
Transactions on Machine Learning Research, 2023
2023
Robust Structured Statistical Estimation via Conditional Gradient Type Methods
J Zhuo, L Liu, C Caramanis
arXiv preprint arXiv:2007.03572, 2020
2020
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