33 citations · 117 across the 14 of their papers we have counts for
Showing 2017Show all
3 papers · 1 filter
stat.ML2017★ 4 cited
Ambiguity set and learning via Bregman and Wasserstein
Xin Guo, Johnny Hong, Nan Yang
Construction of ambiguity set in robust optimization relies on the choice of divergences between probability distributions. In distribution learning, choosing appropriate probabili…
stat.ML2017★ 19 cited
Relaxed Wasserstein with Applications to GANs
Xin Guo, Johnny Hong, Tianyi Lin +1
Wasserstein Generative Adversarial Networks (WGANs) provide a versatile class of models, which have attracted great attention in various applications. However, this framework has t…
cs.CV2017★ 9 cited
Challenges in Monocular Visual Odometry: Photometric Calibration, Motion Bias and Rolling Shutter Effect
Nan Yang, Rui Wang, Xiang Gao +1
Monocular visual odometry (VO) and simultaneous localization and mapping (SLAM) have seen tremendous improvements in accuracy, robustness and efficiency, and have gained increasing…