| 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 -Estimation: Arbitrary Corruption and Heavy Tails 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 Austin在 utexas.edu 的电子邮件经过验证
