A Novel Regularizer for Temporally Stable Learning with an Application to Twitter Topic Classification. Wang, Y., Wu, G., Bouadjenek, M. R., Sanner, S., Su, S., & Zhang, Z. In Proceedings of the SIAM International Conference on Data Mining (SDM-19), Calgary, Canada, 2019. (22.7% acceptance rate)
A Novel Regularizer for Temporally Stable Learning with an Application to Twitter Topic Classification [link]Paper  bibtex   15 downloads  
@inproceedings{Wu:sdm19,
  author   = {Yakun Wang and Ga Wu and Mohamed Reda Bouadjenek and Scott Sanner and Sen Su and Zhongbao Zhang},
  title    = {A Novel Regularizer for Temporally Stable Learning with an Application to Twitter Topic Classification},
  booktitle = {Proceedings of the SIAM International Conference on Data Mining ({SDM-19})},
  address   = {Calgary, Canada},
  year      = {2019},
  url_paper = {https://epubs.siam.org/doi/pdf/10.1137/1.9781611975673.25},
  note = {<font color="#778899"> (22.7\% acceptance rate)</font>}
}

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