6 citations · 19 across the 8 of their papers we have counts for
4 papers · 1 filter
Modeling Heterogeneous Statistical Patterns in High-dimensional Data by Adversarial Distributions: An Unsupervised Generative Framework
Han Zhang, Wenhao Zheng, Charley Chen +4
Since the label collecting is prohibitive and time-consuming, unsupervised methods are preferred in applications such as fraud detection. Meanwhile, such applications usually requi…
Deep Time-Stream Framework for Click-Through Rate Prediction by Tracking Interest Evolution
Shu-Ting Shi, Wenhao Zheng, Jun Tang +4
Click-through rate (CTR) prediction is an essential task in industrial applications such as video recommendation. Recently, deep learning models have been proposed to learn the rep…
Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning
Sihui Luo, Xinchao Wang, Gongfan Fang +3
An increasing number of well-trained deep networks have been released online by researchers and developers, enabling the community to reuse them in a plug-and-play way without acce…
Multi-Objective Generalized Linear Bandits
Shiyin Lu, Guanghui Wang, Yao Hu +1
In this paper, we study the multi-objective bandits (MOB) problem, where a learner repeatedly selects one arm to play and then receives a reward vector consisting of multiple objec…