Seven SAIL members (Hao, Vinay, Karuna, Alycia, Aneesh, Huy, and Wu) and two former members (Dr. Shuhan Yuan and Depeng Xu) attended the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’23) at Long Beach, CA during August 6-10. KDD is the premier conference in data mining. We list below a few major activities from SAIL members.
- Xintao Wu as workshop co-organizers of the 2nd ACM SIGKDD Workshop on Ethical Artificial Intelligence: Methods and Applications, Aug 6.
- Xintao Wu. “Achieving causal fairness in bandit based recommendation “. Keynote speech at the 2023 ACM SIGKDD Workshop on Causal Discovery, Prediction and Decision, Aug 7.
- Vinay M.S., Shuhan Yuan, and Xintao Wu. “Robust Fraud Detection via Supervised Contrastive Learning”. The 3rd Workshop on Artificial Intelligence-Enabled Cybersecurity Analytics (AI4Cyber), Aug 7.
- Alycia Carey, Minh-Hao Van, and Xintao Wu. “The Impact of Local Differential Privacy on Utility Loss: An Influence Function Approach”. PhD Consortium, Aug 9.
- Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Christan Grant, Feng Chen. “Towards Fair Disentangled Online Learning for Changing Environments”. KDD research track, Aug 9.
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