Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

 CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Anqi Liu
Robust Fairness under Covariate Shift

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


  Access Paper or Ask Questions
Distributionally Robust Learning for Unsupervised Domain Adaptation

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

* Preprint 
  Access Paper or Ask Questions
Active Learning under Label Shift

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

* 23 pages, 10 figures, RealML @ ICML2020 
  Access Paper or Ask Questions
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 
  Access Paper or Ask Questions
Triply Robust Off-Policy Evaluation

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

* Preliminary Work 
  Access Paper or Ask Questions
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) 
  Access Paper or Ask Questions
Robust Regression for Safe Exploration in Control

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


  Access Paper or Ask Questions
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 
  Access Paper or Ask Questions
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 
  Access Paper or Ask Questions
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 
  Access Paper or Ask Questions
Kernel Robust Bias-Aware Prediction under Covariate Shift

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


  Access Paper or Ask Questions
Robust Covariate Shift Prediction with General Losses and Feature Views

Dec 28, 2017
Anqi Liu, Brian D. Ziebart


  Access Paper or Ask Questions