Outside the Echo Chamber: Optimizing the Performative Risk

17 February 2021

Papers citing "Outside the Echo Chamber: Optimizing the Performative Risk"

25 / 25 papers shown

Title
On Corruption-Robustness in Performative Reinforcement Learning Vasilis Pollatos Debmalya Mandal Goran Radanović 32 1 0 08 May 2025
Practical Performative Policy Learning with Strategic Agents Qianyi Chen Ying Chen Bo Li 101 0 0 02 Dec 2024
Microfoundation Inference for Strategic Prediction Daniele Bracale Subha Maity Felipe Maia Polo Seamus Somerstep Moulinath Banerjee Yuekai Sun 119 0 0 13 Nov 2024
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges Usman Gohar Zeyu Tang Jialu Wang Kun Zhang Peter Spirtes Yang Liu Lu Cheng FaML 66 3 0 10 Jun 2024
Learning the Distribution Map in Reverse Causal Performative Prediction Daniele Bracale Subha Maity Moulinath Banerjee Yuekai Sun 63 3 0 24 May 2024
Parameter-Free Algorithms for Performative Regret Minimization under Decision-Dependent Distributions Sungwoo Park Junyeop Kwon Byeongnoh Kim Suhyun Chae Jeeyong Lee Dabeen Lee 29 0 0 23 Feb 2024
Zero-Regret Performative Prediction Under Inequality Constraints Wenjing Yan Xuanyu Cao 23 6 0 22 Sep 2023
Plug-in Performative Optimization Licong Lin Tijana Zrnic 35 11 0 30 May 2023
Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts Kun Jin Tongxin Yin Zhong Chen Zeyu Sun Xueru Zhang Yang Liu Mingyan D. Liu OOD FedML 22 6 0 08 May 2023
Performative Prediction with Neural Networks Mehrnaz Mofakhami Ioannis Mitliagkas Gauthier Gidel 40 16 0 14 Apr 2023
Causal Strategic Classification: A Tale of Two Shifts G. Horowitz Nir Rosenfeld OffRL CML 26 14 0 13 Feb 2023
Performative Recommendation: Diversifying Content via Strategic Incentives Itay Eilat Nir Rosenfeld 46 7 0 08 Feb 2023
Making Decisions under Outcome Performativity Michael P. Kim Juan C. Perdomo 46 20 0 04 Oct 2022
Optimizing the Performative Risk under Weak Convexity Assumptions Yulai Zhao 30 5 0 02 Sep 2022
Strategic Decision-Making in the Presence of Information Asymmetry: Provably Efficient RL with Algorithmic Instruments Mengxin Yu Zhuoran Yang Jianqing Fan OffRL 21 8 0 23 Aug 2022
Stochastic Approximation with Decision-Dependent Distributions: Asymptotic Normality and Optimality Joshua Cutler Mateo Díaz Dmitriy Drusvyatskiy 22 5 0 09 Jul 2022
Performative Reinforcement Learning Debmalya Mandal Stelios Triantafyllou Goran Radanović 33 17 0 30 Jun 2022
Emergent specialization from participation dynamics and multi-learner retraining Sarah Dean Mihaela Curmei Lillian J. Ratliff Jamie Morgenstern Maryam Fazel 24 5 0 06 Jun 2022
Strategic Classification with Graph Neural Networks Itay Eilat Ben Finkelshtein Chaim Baskin Nir Rosenfeld 35 12 0 31 May 2022
Performative Power Moritz Hardt Meena Jagadeesan Celestine Mendler-Dünner 19 35 0 31 Mar 2022
Multiplayer Performative Prediction: Learning in Decision-Dependent Games Adhyyan Narang Evan Faulkner Dmitriy Drusvyatskiy Maryam Fazel Lillian J. Ratliff 18 42 0 10 Jan 2022
Fairness Through Counterfactual Utilities Jack Blandin Ian A. Kash FaML 22 2 0 11 Aug 2021
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses Keegan Harris Daniel Ngo Logan Stapleton Hoda Heidari Zhiwei Steven Wu 14 32 0 12 Jul 2021
Who Leads and Who Follows in Strategic Classification? Tijana Zrnic Eric Mazumdar S. Shankar Sastry Michael I. Jordan 26 50 0 23 Jun 2021
Strategic Classification Made Practical Sagi Levanon Nir Rosenfeld 40 55 0 02 Mar 2021