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Anqi (Angie) Liu
Anqi (Angie) Liu
Dirección de correo verificada de cs.jhu.edu - Página principal
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Citado por
Citado por
Año
Regularized learning for domain adaptation under label shifts
K Azizzadenesheli, A Liu, F Yang, A Anandkumar
arXiv preprint arXiv:1903.09734, ICLR 2019, 2019
2042019
Robust classification under sample selection bias
A Liu, B Ziebart
Advances in neural information processing systems 27, 2014
1422014
Robust fairness under covariate shift
A Rezaei, A Liu, O Memarrast, BD Ziebart
Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9419-9427, 2021
872021
Robust Covariate Shift Regression
X Chen, M Monfort, A Liu, BD Ziebart
Proceedings of the 19th International Conference on Artificial Intelligence …, 2016
802016
Intent Prediction and Trajectory Forecasting via Predictive Inverse Linear-Quadratic Regulation.
M Monfort, A Liu, BD Ziebart
AAAI, 3672-3678, 2015
622015
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
612020
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
512020
Adversarial multiclass classification: A risk minimization perspective
R Fathony, A Liu, K Asif, B Ziebart
Advances in Neural Information Processing Systems 29, 2016
422016
Adversarial Multiclass Classification: A Risk Minimization Perspective
R Fathony, A Liu, K Asif, B Ziebart
Advances In Neural Information Processing Systems, 559-567, 2016
422016
Active Learning under Label Shift
E Zhao, A Liu, A Anandkumar, Y Yue
International Conference on Artificial Intelligence and Statistics, 3412-3420, 2021
232021
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
212015
Robust Covariate Shift Prediction with General Losses and Feature Views
A Liu, BD Ziebart
arXiv preprint arXiv:1712.10043, 2017
142017
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
112018
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
112015
Distributionally Robust Policy Gradient for Offline Contextual Bandits
Z Yang, Y Guo, P Xu, A Liu, A Anandkumar
International Conference on Artificial Intelligence and Statistics, 6443-6462, 2023
92023
Ambiguous Images With Human Judgments for Robust Visual Event Classification
K Sanders, R Kriz, A Liu, B Van Durme
Thirty-sixth Conference on Neural Information Processing Systems Datasets …, 2022
92022
Triply Robust Off-Policy Evaluation
A Liu, H Liu, A Anandkumar, Y Yue
arXiv preprint arXiv:1911.05811, 2019
92019
Dynamic social media monitoring for fast-evolving online discussions
M Srikanth, A Liu, N Adams-Cohen, J Cao, RM Alvarez, A Anandkumar
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
82021
Active Learning for Probabilistic Structured Prediction of Cuts and Matchings
S Behpour, A Liu, B Ziebart
International Conference on Machine Learning, 563-572, 2019
82019
Modeling and Interpreting Real-world Human Risk Decision Making with Inverse Reinforcement Learning
Q Liu, H Wu, A Liu
Real-world Sequential Decision Making Workshop at ICML 2019, 2019
7*2019
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Artículos 1–20