High Dimensional Robust Sparse Regression L Liu, Y Shen, T Li, C Caramanis
International Conference on Artificial Intelligence and Statistics, 411--421, 2020
79 2020 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
63 * 2023 Statistical inference using SGD T Li, L Liu, A Kyrillidis, C Caramanis
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
59 2018 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
42 2022 High Dimensional Robust L Liu, T Li, C Caramanis
arXiv preprint arXiv:1901.08237, 2019
34 * 2019 Robust Imitation Learning from Corrupted Demonstrations L Liu, Z Tang, L Li, D Luo
arXiv preprint arXiv:2201.12594, 2022
7 2022 Approximate Newton-based statistical inference using only stochastic gradients T Li, A Kyrillidis, L Liu, C Caramanis
arXiv preprint arXiv:1805.08920, 2018
5 2018 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
4 2023 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
3 2023 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
3 2022 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
2 2024 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
2 * 2024 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
2024 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 
Constantine CaramanisProfessor of Electrical and Computer Engineering, UT AustinZweryfikowany adres z utexas.edu