75 citations · 110 across the 16 of their papers we have counts for
4 papers · 1 filter
Integrated Imputation-Classification for Supervised Learning with Missing Data
Yue Liu, Ben Liang, Ali Tizghadam +1
We study supervised classification problems with missing feature values. Existing approaches often decouple imputation from classification, producing imputations that may be plausi…
Improving Knowledge Distillation with Teacher's Explanation
Sayantan Chowdhury, Ben Liang, Ali Tizghadam +1
Knowledge distillation (KD) improves the performance of a low-complexity student model with the help of a more powerful teacher. The teacher in KD is a black-box model, imparting k…
Generative Adversarial Classification Network with Application to Network Traffic Classification
Rozhina Ghanavi, Ben Liang, Ali Tizghadam
Large datasets in machine learning often contain missing data, which necessitates the imputation of missing data values. In this work, we are motivated by network traffic classific…
Queue-Learning: A Reinforcement Learning Approach for Providing Quality of Service
Majid Raeis, Ali Tizghadam, Alberto Leon-Garcia
End-to-end delay is a critical attribute of quality of service (QoS) in application domains such as cloud computing and computer networks. This metric is particularly important in…