198 citations · 949 across the 29 of their papers we have counts for
5 papers · 1 filter
Uncertainty Calibration for Ensemble-Based Debiasing Methods
Ruibin Xiong, Yimeng Chen, Liang Pang +2
Ensemble-based debiasing methods have been shown effective in mitigating the reliance of classifiers on specific dataset bias, by exploiting the output of a bias-only model to adju…
Robust Reinforcement Learning with Wasserstein Constraint
Linfang Hou, Liang Pang, Xin Hong +3
Robust Reinforcement Learning aims to find the optimal policy with some extent of robustness to environmental dynamics. Existing learning algorithms usually enable the robustness t…
Locally Smoothed Neural Networks
Liang Pang, Yanyan Lan, Jun Xu +2
Convolutional Neural Networks (CNN) and the locally connected layer are limited in capturing the importance and relations of different local receptive fields, which are often cruci…
Large Scale Purchase Prediction with Historical User Actions on B2C Online Retail Platform
Yuyu Zhang, Liang Pang, Lei Shi +1
This paper describes the solution of Bazinga Team for Tmall Recommendation Prize 2014. With real-world user action data provided by Tmall, one of the largest B2C online retail plat…
Combination of Diverse Ranking Models for Personalized Expedia Hotel Searches
Xudong Liu, Bing Xu, Yuyu Zhang +5
The ICDM Challenge 2013 is to apply machine learning to the problem of hotel ranking, aiming to maximize purchases according to given hotel characteristics, location attractiveness…