My research interest lies in machine learning and its applications. I am currently working on conservative prediction, domain shift, interactive machine learning.
Rizal Fathony, Anqi Liu, Kaiser Asif, Brian D. Ziebart “Adversarial Multiclass Classification: A Risk Minimization Perspective”, In NIPS2016.
Xiangli Chen, Mathew Monfort, Anqi Liu, Brian D. Ziebart “Robust Covariate Shift Regression”, In AISTATS2016.
Mathew Monfort, Anqi Liu and Brian D. Ziebart “Trajectory Forecasting and Intent Recognition via Predictive Inverse Linear-Quadratic Regulation”, In AAAI2015.
Anqi Liu, Lev Reyzin and Brian D. Ziebart “Pessimistic Active Learning using Robust Bias-Aware Prediction”, In AAAI2015.
Anqi Liu and Brian D. Ziebart “Robust Classification under Sample Selection Bias”, In NIPS2014. Spotlight.