Robust Classification Under Sample Selection Bias

Brian Ziebart , Anqi Liu
neural information processing systems 27 37 -45

124
2014
Shift-pessimistic active learning using robust bias-aware prediction

Brian D. Ziebart , Anqi Liu , Lev Reyzin
national conference on artificial intelligence 2764 -2770

13
2015
Robust Covariate Shift Regression

Brian D. Ziebart , Anqi Liu , Mathew Monfort , Xiangli Chen
international conference on artificial intelligence and statistics 1270 -1279

29
2016
Robust classification under covariate shift with application to active learning

Anqi Liu
national conference on artificial intelligence 4307 -4308

2016
Adversarial Multiclass Classification: A Risk Minimization Perspective

Brian D. Ziebart , Anqi Liu , Kaiser Asif , Rizal Fathony
neural information processing systems 29 559 -567

7
2016
Regularized Learning for Domain Adaptation under Label Shifts

Animashree Anandkumar , Anqi Liu , Kamyar Azizzadenesheli , Fanny Yang
international conference on learning representations

128
2019
Learning Gibbs-regularized GANs with variational discriminator reparameterization

Kihyuk Sohn , Nicholas Rhinehart , Paul Vernaza , Anqi Liu

2018
Active Learning for Probabilistic Structured Prediction of Cuts and Matchings.

Brian D. Ziebart , Anqi Liu , Sima Behpour
international conference on machine learning 563 -572

4
2019
Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems

Anima Anandkumar , Yisong Yue , Anqi Liu , Yashwanth Kumar Nakka
arXiv: Robotics

37
2020
Active Learning under Label Shift

Animashree Anandkumar , Yisong Yue , Anqi Liu , Eric Zhao
arXiv: Learning

12
2020
Robust Fairness under Covariate Shift.

Brian D. Ziebart , Anqi Liu , Ashkan Rezaei , Omid Memarrast
arXiv: Learning

42
2020
Robust Regression for Safe Exploration in Control.

Anima Anandkumar , Yisong Yue , Anqi Liu , Soon-Jo Chung
L4DC 608 -619

41
2019
Dynamic Social Media Monitoring for Fast-Evolving Online Discussions.

R. Michael Alvarez , Anima Anandkumar , Anqi Liu , Nicholas Adams-Cohen
arXiv: Social and Information Networks

2021
Context Retrieval for Web Tables

Hong Wang , Anqi Liu , Jing Wang , Brian D Ziebart
international conference on the theory of information retrieval 251 -260

3
2015
Ambiguous images with human judgments for robust visual event classification

Kate Sanders , Reno Kriz , Anqi Liu , Benjamin Van Durme
Advances in Neural Information Processing Systems 35 2637 -2650

1
2022
Towards human-compatible autonomous car: A study of non-verbal Turing test in automated driving with affective transition modelling

Zhaoning Li , Qiaoli Jiang , Zhengming Wu , Anqi Liu
IEEE Transactions on Affective Computing

2
2023
Megawika: Millions of reports and their sources across 50 diverse languages

Samuel Barham , Orion Weller , Michelle Yuan , Kenton Murray
arXiv preprint arXiv:2307.07049

3
2023
2021
Robust covariate shift prediction with general losses and feature views

Anqi Liu , Brian D Ziebart
arXiv preprint arXiv:1712.10043

14
2017
Consistent robust adversarial prediction for general multiclass classification

Rizal Fathony , Kaiser Asif , Anqi Liu , Mohammad Ali Bashiri
arXiv preprint arXiv:1812.07526

11
2018