Verifying individual fairness in machine learning modelsPhilips George JohnDeepak Vijaykeerthyet al.2020UAI 2020
Distributionally robust policy evaluation and learning in offline contextual banditsNian SiFan Zhanget al.2020ICML 2020
Enhancing simple models by exploiting what they already knowAmit DhurandharKarthikeyan Shanmugamet al.2020ICML 2020
Min-max optimization without gradients: Convergence and applications to black-box evasion and poisoning attacksSijia LiuSongtao Luet al.2020ICML 2020
Transfer learning without knowing: Reprogramming black-box machine learning models with scarce data and limited resourcesYun Yun TsaiPin-Yu Chenet al.2020ICML 2020
Safe reinforcement learning in constrained markov decision processesAkifumi WachiYanan Sui2020ICML 2020
New oracle-efficient algorithms for private synthetic data releaseGiuseppe VietriGrace Tianet al.2020ICML 2020
Proper network interpretability helps adversarial robustness in classificationAkhilan BoopathySijia Liuet al.2020ICML 2020
Is there a trade-off between fairness and accuracy? A perspective using mismatched hypothesis testingSanghamitra DuttaDennis Weiet al.2020ICML 2020