13 citations · 31 across the 6 of their papers we have counts for
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cs.LG2020★ 7 cited
Dropout Prediction over Weeks in MOOCs via Interpretable Multi-Layer Representation Learning
Byungsoo Jeon, Namyong Park, Seojin Bang
Massive Open Online Courses (MOOCs) have become popular platforms for online learning. While MOOCs enable students to study at their own pace, this flexibility makes it easy for st…
cs.LG2019★ 13 cited
Explaining a black-box using Deep Variational Information Bottleneck Approach
Seojin Bang, Pengtao Xie, Heewook Lee +2
Interpretable machine learning has gained much attention recently. Briefness and comprehensiveness are necessary in order to provide a large amount of information concisely when ex…
cs.LG2018★ 7 cited
Robust Multiple Kernel k-means Clustering using Min-Max Optimization
Seojin Bang, Yaoliang Yu, Wei Wu
Multiple kernel learning is a type of multiview learning that combines different data modalities by capturing view-specific patterns using kernels. Although supervised multiple ker…