| Robust Classification Under Sample Selection Bias. A Liu, BD Ziebart NIPS, 37-45, 2014 | 87 | 2014 |
| Regularized learning for domain adaptation under label shifts K Azizzadenesheli, A Liu, F Yang, A Anandkumar arXiv preprint arXiv:1903.09734, 2019 | 56 | 2019 |
| Intent Prediction and Trajectory Forecasting via Predictive Inverse Linear-Quadratic Regulation. M Monfort, A Liu, BD Ziebart AAAI, 3672-3678, 2015 | 47 | 2015 |
| Robust Covariate Shift Regression X Chen, M Monfort, A Liu, BD Ziebart Proceedings of the 19th International Conference on Artificial Intelligence …, 2016 | 34 | 2016 |
| Adversarial Multiclass Classification: A Risk Minimization Perspective R Fathony, A Liu, K Asif, B Ziebart Advances in Neural Information Processing Systems 29, 559-567, 2016 | 22 | 2016 |
| Adversarial Multiclass Classification: A Risk Minimization Perspective R Fathony, A Liu, K Asif, B Ziebart Advances In Neural Information Processing Systems, 559-567, 2016 | 22 | 2016 |
| Shift-pessimistic active learning using robust bias-aware prediction A Liu, L Reyzin, B Ziebart Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 20 | 2015 |
| Robust regression for safe exploration in control A Liu, G Shi, SJ Chung, A Anandkumar, Y Yue Learning for Dynamics and Control, 608-619, 2020 | 16 | 2020 |
| Chance-constrained trajectory optimization for safe exploration and learning of nonlinear systems YK Nakka, A Liu, G Shi, A Anandkumar, Y Yue, SJ Chung IEEE Robotics and Automation Letters 6 (2), 389-396, 2020 | 8 | 2020 |
| Robust Covariate Shift Prediction with General Losses and Feature Views A Liu, BD Ziebart arXiv preprint arXiv:1712.10043, 2017 | 8 | 2017 |
| Context Retrieval for Web Tables H Wang, A Liu, J Wang, BD Ziebart, CT Yu, W Shen Proceedings of the 2015 International Conference on The Theory of …, 2015 | 6 | 2015 |
| Consistent Robust Adversarial Prediction for General Multiclass Classification R Fathony, K Asif, A Liu, MA Bashiri, W Xing, S Behpour, X Zhang, ... arXiv preprint arXiv:1812.07526, 2018 | 5 | 2018 |
| Finding Social Media Trolls: Dynamic Keyword Selection Methods for Rapidly-Evolving Online Debates A Liu, M Srikanth, N Adams-Cohen, RM Alvarez, A Anandkumar arXiv preprint arXiv:1911.05332, 2019 | 3 | 2019 |
| Addressing Covariate Shift in Active Learning with Adversarial Prediction A Liu, K Asif, W Xing, S Behpour, BD Ziebart, L Reyzin ICML 2015 Workshop of Active Learning, 2015 | 3 | 2015 |
| Triply Robust Off-Policy Evaluation A Liu, H Liu, A Anandkumar, Y Yue arXiv preprint arXiv:1911.05811, 2019 | 2 | 2019 |
| Active Learning for Probabilistic Structured Prediction of Cuts and Matchings S Behpour, A Liu, B Ziebart International Conference on Machine Learning, 563-572, 2019 | 2 | 2019 |
| Disentangling Observed Causal Effects from Latent Confounders using Method of Moments A Liu, H Liu, T Li, S Karimi-Bidhendi, Y Yue, A Anandkumar arXiv preprint arXiv:2101.06614, 2021 | | 2021 |
| Robust Fairness under Covariate Shift A Rezaei, A Liu, O Memarrast, B Ziebart arXiv preprint arXiv:2010.05166, 2020 | | 2020 |
| Distributionally Robust Learning for Unsupervised Domain Adaptation H Wang, A Liu, Z Yu, Y Yue, A Anandkumar arXiv preprint arXiv:2010.05784, 2020 | | 2020 |
| Active Learning under Label Shift E Zhao, A Liu, A Anandkumar, Y Yue arXiv preprint arXiv:2007.08479, 2020 | | 2020 |
Brian D ZiebartAssociate Professor of Computer Science, University of Illinois at ChicagoVerified email at uic.edu
