Attending Program

August 6, 2023, 8:00 am - 12:00 pm, Long Beach Convention & Entertainment Center, Ballroom Grand A

300 East Ocean Boulevard Long Beach, CA 90802, USA

8:00 am – 8:10 am Opening Remarks
8:10 am – 8:40 am Keynote Talk 1: Sustaining Fairness under Unseen Distribution Shifts.
Dr. Zhangyang “Atlas” Wang, The University of Texas at Austin
8:40 am – 9:55 am Accepted Paper Talks 1
  • [Paper ID: 1] On the Within-Group Unfairness of Screening Classifiers.
    Nastaran Okati, MPI-SWS
  • [Paper ID: 2] Long-term Fair Decision Making Through Deep Generative Models.
    Yaowei Hu, University of Arkansas
  • [Paper ID: 3] Alleviating Filter Bubbles and Polarization in News Recommendation via Dynamic Calibration.
    Han Zhang, Texas A&M University
  • [Paper ID: 5] Adaptation Speed of Causal Models Concerning Fairness.
    Minglai Shao, Tianjin University
  • [Paper ID: 6] Fair Multiclass Classification for a Black-Box Classifier.
    Grigori Jasnovidov, ITMO University
9:55 am – 10:25 am Keynote Talk 2: Applied Ethics.
Dr. Chris White, NEC Laboratories America
10:20 am – 11:25 am Accepted Paper Talks 2
  • [Paper ID: 7] Are Your Reviewers Being Treated Equally? Discovering Subgroup Structures to Improve Fairness in Spam Detection.
    Jiaxin Liu, Lehigh University
  • [Paper ID: 8] Neural-Informed Decision Trees: A Fair, Interpretable and Expressive Tree Model.
    Georgia Perakis, MIT
  • [Paper ID: 9] Fair Learning to Rank with Distribution-free Risk Control.
    Ruocheng Guo, ByteDance Research
  • [Paper ID: 11] Fair Few-shot Learning with Auxiliary Sets.
    Song Wang, University of Virginia
11:25 am – 11:55 am Keynote Talk 3: Towards Fairness in Organ Transplant.
Dr. Xia Hu, Rice University
11:55 am – 12:00 pm Closing