Co-occurring keywords · papers mentioning both
distributionally robust optimization
(2)
class-wise robustness
(1)
robust fairness
(1)
variance regularized optimization
(1)
clustering abstraction
(1)
global optimality guarantee
(1)
mixed-integer second-order cone program
(1)
mixed integer second order cone programming
(1)
antidote data
(1)
worst-case training
(1)
Papers
Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution
AAAI 2025
Towards Fairness-Aware Adversarial Learning
CVPR 2024
Learning Antidote Data to Individual Unfairness
ICML 2023
Robust Generalization Against Photon-Limited Corruptions via Worst-Case Sharpness Minimization
CVPR 2023
Scalable Distributional Robustness in a Class of Non-Convex Optimization with Guarantees
NeurIPS 2022