Performative Prediction

16 February 2020

Juan C. Perdomo

Tijana Zrnic

Celestine Mendler-Dünner

Moritz Hardt

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Papers citing "Performative Prediction"

50 / 191 papers shown

Title
Generalization Bounds and Stopping Rules for Learning with Self-Selected Data Julian Rodemann James Bailie SSL 53 1 0 12 May 2025
On Corruption-Robustness in Performative Reinforcement Learning Vasilis Pollatos Debmalya Mandal Goran Radanović 32 1 0 08 May 2025
Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality Chara Podimata 56 0 0 08 May 2025
Independent Learning in Performative Markov Potential Games Rilind Sahitaj Paulius Sasnauskas Yiğit Yalın Debmalya Mandal Goran Radanović 36 0 0 29 Apr 2025
Performative Drift Resistant Classification Using Generative Domain Adversarial Networks Maciej Makowski Brandon Gower-Winter Georg Krempl 26 0 0 01 Apr 2025
Revisiting the Predictability of Performative, Social Events Juan C. Perdomo 41 1 0 12 Mar 2025
Decision-Dependent Stochastic Optimization: The Role of Distribution Dynamics Zhiyu He S. Bolognani Florian Dorfler Michael Muehlebach 69 0 0 10 Mar 2025
Evolutionary Prediction Games Eden Saig Nir Rosenfeld 52 0 0 05 Mar 2025
AI-Assisted Decision Making with Human Learning Gali Noti Kate Donahue Jon M. Kleinberg Sigal Oren 129 0 0 18 Feb 2025
Machine Learning Should Maximize Welfare, Not (Only) Accuracy Nir Rosenfeld Haifeng Xu HAI FaML 76 1 0 17 Feb 2025
The Value of Information in Human-AI Decision-making Ziyang Guo Yifan Wu Jason D. Hartline Jessica Hullman FAtt 59 0 0 10 Feb 2025
Policy Design for Two-sided Platforms with Participation Dynamics Haruka Kiyohara Fan Yao Sarah Dean 61 0 0 03 Feb 2025
Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists Joachim Baumann Celestine Mendler-Dünner 78 2 0 17 Jan 2025
Fine-Tuning Games: Bargaining and Adaptation for General-Purpose Models Benjamin Laufer Jon M. Kleinberg Hoda Heidari 55 8 0 03 Jan 2025
Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams Brandon Gower-Winter Georg Krempl Sergey Dragomiretskiy Tineke Jelsma Arno Siebes 88 0 0 13 Dec 2024
Tight Lower Bounds and Improved Convergence in Performative Prediction Pedram Khorsandi Rushil Gupta Mehrnaz Mofakhami Simon Lacoste-Julien Gauthier Gidel 69 1 0 04 Dec 2024
Practical Performative Policy Learning with Strategic Agents Qianyi Chen Ying Chen Bo Li 101 0 0 02 Dec 2024
When Online Algorithms Influence the Environment: A Dynamical Systems Analysis of the Unintended Consequences Prabhat Lankireddy Jayakrishnan Nair D Manjunath 62 0 0 21 Nov 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
Optimal Classification under Performative Distribution Shift Edwige Cyffers Muni Sreenivas Pydi Jamal Atif Olivier Cappé 45 1 0 04 Nov 2024
ProFL: Performative Robust Optimal Federated Learning Xue Zheng Tian Xie Xuwei Tan Aylin Yener Xueru Zhang Ali Payani Myungjin Lee FedML 35 0 0 23 Oct 2024
Integrating Expert Judgment and Algorithmic Decision Making: An Indistinguishability Framework Rohan Alur Loren Laine Darrick K. Li Dennis L. Shung Manish Raghavan Devavrat Shah 35 2 0 11 Oct 2024
Adjusting Pretrained Backbones for Performativity Berker Demirel Lingjing Kong Anton van den Hengel Theofanis Karaletsos Celestine Mendler-Dünner Francesco Locatello KELM 19 0 0 06 Oct 2024
Reciprocal Learning Julian Rodemann Christoph Jansen G. Schollmeyer FedML 37 0 0 12 Aug 2024
Performative Prediction on Games and Mechanism Design António Góis Mehrnaz Mofakhami Fernando P. Santos Simon Lacoste-Julien Gauthier Gidel 34 0 0 09 Aug 2024
Strategic Littlestone Dimension: Improved Bounds on Online Strategic Classification Saba Ahmadi Kunhe Yang Hanrui Zhang 38 1 0 16 Jul 2024
Online Stackelberg Optimization via Nonlinear Control William Brown Christos Papadimitriou Tim Roughgarden OffRL 35 1 0 27 Jun 2024
Performative Debias with Fair-exposure Optimization Driven by Strategic Agents in Recommender Systems Zhichen Xiang Hongke Zhao Chuang Zhao Ming He Jianping Fan 26 1 0 25 Jun 2024
Addressing Polarization and Unfairness in Performative Prediction Kun Jin Tian Xie Yang Liu Xueru Zhang 49 2 0 24 Jun 2024
Fair Clustering: Critique, Caveats, and Future Directions John Dickerson Seyed-Alireza Esmaeili Jamie Morgenstern Claire Jie Zhang FaML 44 1 0 22 Jun 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
Ethical considerations of use of hold-out sets in clinical prediction model management Louis Chislett L. Aslett Alisha R Davies Catalina A Vallejos J. Liley 16 1 0 05 Jun 2024
Learning from Streaming Data when Users Choose Jinyan Su Sarah Dean FedML 46 1 0 03 Jun 2024
Algorithmic Fairness in Performative Policy Learning: Escaping the Impossibility of Group Fairness Seamus Somerstep Yaácov Ritov Yuekai Sun FaML 36 4 0 30 May 2024
Learning the Distribution Map in Reverse Causal Performative Prediction Daniele Bracale Subha Maity Moulinath Banerjee Yuekai Sun 63 3 0 24 May 2024
Understanding the Training and Generalization of Pretrained Transformer for Sequential Decision Making Hanzhao Wang Yu Pan Fupeng Sun Shang Liu K. Talluri Guanting Chen Xiaocheng Li OffRL 61 1 0 23 May 2024
A Dynamic Model of Performative Human-ML Collaboration: Theory and Empirical Evidence Tom Sühr Samira Samadi Chiara Farronato HAI 26 2 0 22 May 2024
Assessing Political Bias in Large Language Models Luca Rettenberger Markus Reischl Mark Schutera 20 7 0 17 May 2024
Automating Data Annotation under Strategic Human Agents: Risks and Potential Solutions Tian Xie Xueru Zhang 32 3 0 12 May 2024
Non-linear Welfare-Aware Strategic Learning Tian Xie Xueru Zhang 35 5 0 03 May 2024
Algorithmic Decision-Making under Agents with Persistent Improvement Tian Xie Xuwei Tan Xueru Zhang 50 4 0 03 May 2024
Learning under Imitative Strategic Behavior with Unforeseeable Outcomes Tian Xie Zhiqun Zuo Mohammad Mahdi Khalili Xueru Zhang OffRL 38 2 0 03 May 2024
An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models Yangchen Pan Junfeng Wen Chenjun Xiao Philip H. S. Torr OffRL MU 19 0 0 23 Apr 2024
Learning In Reverse Causal Strategic Environments With Ramifications on Two Sided Markets Seamus Somerstep Yuekai Sun Yaácov Ritov 40 4 0 20 Apr 2024
Accounting for AI and Users Shaping One Another: The Role of Mathematical Models Sarah Dean Evan Dong Meena Jagadeesan Liu Leqi 37 6 0 18 Apr 2024
Data Models With Two Manifestations of Imprecision Christian Frohlich Robert C. Williamson 29 1 0 15 Apr 2024
Domain Generalisation via Imprecise Learning Anurag Singh Siu Lun Chau S. Bouabid Krikamol Muandet AI4CE OOD 38 5 0 06 Apr 2024
Risk-averse Learning with Non-Stationary Distributions Siyi Wang Zifan Wang Xinlei Yi Michael M. Zavlanos K. H. Johansson Sandra Hirche 19 1 0 03 Apr 2024
Fairness Feedback Loops: Training on Synthetic Data Amplifies Bias Sierra Wyllie Ilia Shumailov Nicolas Papernot 38 25 0 12 Mar 2024
Evaluating and Correcting Performative Effects of Decision Support Systems via Causal Domain Shift Philip A. Boeken O. Zoeter Joris M. Mooij 36 1 0 01 Mar 2024