Ngā tūemi rite

• It's All in the Mix: Wasserstein Classification and Regression with Mixed Features
  mā: Belbasi, Reza, me ētahi atu.
  I whakaputaina: (2023)
• Differential Privacy via Distributionally Robust Optimization
  mā: Selvi, Aras, me ētahi atu.
  I whakaputaina: (2023)
• Contextual Optimization under Covariate Shift: A Robust Approach by Intersecting Wasserstein Balls
  mā: Wang, Tianyu, me ētahi atu.
  I whakaputaina: (2024)
• Auditing and Enforcing Conditional Fairness via Optimal Transport
  mā: Ghassemi, Mohsen, me ētahi atu.
  I whakaputaina: (2024)
• Mixed-feature Logistic Regression Robust to Distribution Shifts
  mā: Sun, Qingshi, me ētahi atu.
  I whakaputaina: (2025)