Zeroth-Order Methods for Convex-Concave Minmax Problems: Applications to
Decision-Dependent Risk Minimization

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Zeroth-Order Methods for Convex-Concave Minmax Problems: Applications to Decision-Dependent Risk Minimization

16 June 2021

Eric Mazumdar

S. Shankar Sastry

Lillian J. Ratliff

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Papers citing "Zeroth-Order Methods for Convex-Concave Minmax Problems: Applications to Decision-Dependent Risk Minimization"

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Title
Zeroth-Order Stochastic Mirror Descent Algorithms for Minimax Excess Risk Optimization Zhihao Gu Zi Xu 81 1 0 22 Aug 2024
How to Boost Any Loss Function Richard Nock Yishay Mansour 62 0 0 02 Jul 2024
Parameter-Free Algorithms for Performative Regret Minimization under Decision-Dependent Distributions Sungwoo Park Junyeop Kwon Byeongnoh Kim Suhyun Chae Jeeyong Lee Dabeen Lee 82 0 0 23 Feb 2024
Performative Prediction with Neural Networks Mehrnaz Mofakhami Ioannis Mitliagkas Gauthier Gidel 124 19 0 14 Apr 2023
Causal Strategic Classification: A Tale of Two Shifts G. Horowitz Nir Rosenfeld OffRL CML 102 18 0 13 Feb 2023
Strategic Classification with Graph Neural Networks Itay Eilat Ben Finkelshtein Chaim Baskin Nir Rosenfeld 113 13 0 31 May 2022
Regret Minimization with Performative Feedback Meena Jagadeesan Tijana Zrnic Celestine Mendler-Dünner 102 36 0 01 Feb 2022
Model Transferability With Responsive Decision Subjects Yatong Chen Zeyu Tang Kun Zhang Yang Liu 130 10 0 13 Jul 2021
Performative Prediction in a Stateful World Gavin Brown Shlomi Hod Iden Kalemaj 127 85 0 08 Nov 2020