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Dynamic Social Media Monitoring for Fast-Evolving Online Discussions


Feb 24, 2021
Maya Srikanth, Anqi Liu, Nicholas Adams-Cohen, Jian Cao, R. Michael Alvarez, Anima Anandkumar

* Preprint, Under Review 

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Disentangling Observed Causal Effects from Latent Confounders using Method of Moments


Jan 17, 2021
Anqi Liu, Hao Liu, Tongxin Li, Saeed Karimi-Bidhendi, Yisong Yue, Anima Anandkumar


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Robust Fairness under Covariate Shift


Oct 17, 2020
Ashkan Rezaei, Anqi Liu, Omid Memarrast, Brian Ziebart


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Distributionally Robust Learning for Unsupervised Domain Adaptation


Oct 08, 2020
Haoxuan Wang, Anqi Liu, Zhiding Yu, Yisong Yue, Anima Anandkumar

* Preprint 

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Active Learning under Label Shift


Jul 16, 2020
Eric Zhao, Anqi Liu, Animashree Anandkumar, Yisong Yue

* 23 pages, 10 figures, RealML @ ICML2020 

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Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems


May 09, 2020
Yashwanth Kumar Nakka, Anqi Liu, Guanya Shi, Anima Anandkumar, Yisong Yue, Soon-Jo Chung

* Submitted to RA-L 2020 

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Triply Robust Off-Policy Evaluation


Nov 16, 2019
Anqi Liu, Hao Liu, Anima Anandkumar, Yisong Yue

* Preliminary Work 

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Finding Social Media Trolls: Dynamic Keyword Selection Methods for Rapidly-Evolving Online Debates


Nov 16, 2019
Anqi Liu, Maya Srikanth, Nicholas Adams-Cohen, R. Michael Alvarez, Anima Anandkumar

* AI for Social Good workshop at NeurIPS (2019) 

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Robust Regression for Safe Exploration in Control


Jun 13, 2019
Anqi Liu, Guanya Shi, Soon-Jo Chung, Anima Anandkumar, Yisong Yue


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Modeling and Interpreting Real-world Human Risk Decision Making with Inverse Reinforcement Learning


Jun 13, 2019
Quanying Liu, Haiyan Wu, Anqi Liu

* Real-world Sequential Decision Making Workshop at ICML 2019 

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Regularized Learning for Domain Adaptation under Label Shifts


Mar 22, 2019
Kamyar Azizzadenesheli, Anqi Liu, Fanny Yang, Animashree Anandkumar

* @article{azizzadenesheli2018regularized, title={Regularized Learning for Domain Adaptation under Label Shifts}, author={Azizzadenesheli, Kamyar and Liu, Anqi and Yang, Fanny and Anandkumar, Animashree}, year={2019} } 
* International Conference on Learning Representations (ICLR) 2019 

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Consistent Robust Adversarial Prediction for General Multiclass Classification


Dec 18, 2018
Rizal Fathony, Kaiser Asif, Anqi Liu, Mohammad Ali Bashiri, Wei Xing, Sima Behpour, Xinhua Zhang, Brian D. Ziebart

* 48 pages, 10 figures 

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Kernel Robust Bias-Aware Prediction under Covariate Shift


Dec 28, 2017
Anqi Liu, Rizal Fathony, Brian D. Ziebart


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Robust Covariate Shift Prediction with General Losses and Feature Views


Dec 28, 2017
Anqi Liu, Brian D. Ziebart


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