3 papers
cs.LG2019
Combining Machine Learning Models using combo Library
Yue Zhao, Xuejian Wang, Cheng Cheng +1
Model combination, often regarded as a key sub-field of ensemble learning, has been widely used in both academic research and industry applications. To facilitate this process, we…
cs.LG2019
Continual Rare-Class Recognition with Emerging Novel Subclasses
Hung Nguyen, Xuejian Wang, Leman Akoglu
Given a labeled dataset that contains a rare (or minority) class of of-interest instances, as well as a large class of instances that are not of interest, how can we learn to recog…
cs.LG2018
Large-scale Interactive Recommendation with Tree-structured Policy Gradient
Haokun Chen, Xinyi Dai, Han Cai +5
Reinforcement learning (RL) has recently been introduced to interactive recommender systems (IRS) because of its nature of learning from dynamic interactions and planning for long-…