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
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
Performative Reinforcement Learning in Gradually Shifting Environments Ben Rank Stelios Triantafyllou Debmalya Mandal Goran Radanović OffRL 29 6 0 15 Feb 2024
Bayesian Strategic Classification Lee Cohen Saeed Sharifi-Malvajerdi Kevin Stangl A. Vakilian Juba Ziani 25 4 0 13 Feb 2024
Understanding Model Selection For Learning In Strategic Environments Tinashe Handina Eric Mazumdar 25 0 0 12 Feb 2024
Self-Correcting Self-Consuming Loops for Generative Model Training Nate Gillman Michael Freeman Daksh Aggarwal Chia-Hong Hsu Calvin Luo Yonglong Tian Chen Sun 35 13 0 11 Feb 2024
Feedback Loops With Language Models Drive In-Context Reward Hacking Alexander Pan Erik Jones Meena Jagadeesan Jacob Steinhardt KELM 53 26 0 09 Feb 2024
Human Expertise in Algorithmic Prediction Rohan Alur Manish Raghavan Devavrat Shah 17 1 0 01 Feb 2024
Strategic Usage in a Multi-Learner Setting Eliot Shekhtman Sarah Dean 37 2 0 29 Jan 2024
On the Stochastic (Variance-Reduced) Proximal Gradient Method for Regularized Expected Reward Optimization Ling Liang Haizhao Yang 14 1 0 23 Jan 2024
Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement Learning P. Amortila Tongyi Cao Akshay Krishnamurthy OffRL OOD 46 2 0 22 Jan 2024
Long-Term Fair Decision Making through Deep Generative Models Yaowei Hu Yongkai Wu Lu Zhang FaML 32 1 0 20 Jan 2024
Clickbait vs. Quality: How Engagement-Based Optimization Shapes the Content Landscape in Online Platforms Nicole Immorlica Meena Jagadeesan Brendan Lucier OffRL 26 11 0 18 Jan 2024
Online Algorithmic Recourse by Collective Action Elliot Creager Richard Zemel 10 3 0 29 Dec 2023
When accurate prediction models yield harmful self-fulfilling prophecies Wouter A. C. van Amsterdam N. Geloven Jesse H. Krijthe Rajesh Ranganath Giovanni Cina 21 7 0 02 Dec 2023
Designing Long-term Group Fair Policies in Dynamical Systems Miriam Rateike Isabel Valera Patrick Forré 33 4 0 21 Nov 2023
Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens Jean Feng Adarsh Subbaswamy Alexej Gossmann Harvineet Singh B. Sahiner Mi-Ok Kim Gene Pennello N. Petrick Romain Pirracchio Fan Xia 19 1 0 20 Nov 2023
Predictive Minds: LLMs As Atypical Active Inference Agents Jan Kulveit Clem von Stengel Roman Leventov LLMAG KELM LRM 44 1 0 16 Nov 2023
One-Shot Strategic Classification Under Unknown Costs Elan Rosenfeld Nir Rosenfeld OffRL 33 8 0 05 Nov 2023
Procedural Fairness Through Decoupling Objectionable Data Generating Components Zeyu Tang Jialu Wang Yang Liu Peter Spirtes Anton van den Hengel 27 2 0 05 Nov 2023
Adapting Fake News Detection to the Era of Large Language Models Jinyan Su Claire Cardie Preslav Nakov DeLMO 40 18 0 02 Nov 2023
Performative Prediction: Past and Future Moritz Hardt Celestine Mendler-Dünner 31 21 0 25 Oct 2023
Machine Learning and Knowledge: Why Robustness Matters Jonathan Vandenburgh OOD 26 1 0 23 Oct 2023
Designing Shared Information Displays for Agents of Varying Strategic Sophistication Dongping Zhang Jason D. Hartline Jessica Hullman 11 3 0 16 Oct 2023
Performative Time-Series Forecasting Zhiyuan Zhao Alexander Rodríguez B. Prakash AI4TS 29 4 0 09 Oct 2023
Interventions Against Machine-Assisted Statistical Discrimination John Y. Zhu 21 0 0 06 Oct 2023
On the Stability of Iterative Retraining of Generative Models on their own Data Quentin Bertrand A. Bose Alexandre Duplessis Marco Jiralerspong Gauthier Gidel 27 43 0 30 Sep 2023
Zero-Regret Performative Prediction Under Inequality Constraints Wenjing Yan Xuanyu Cao 23 6 0 22 Sep 2023
A Gentle Introduction to Gradient-Based Optimization and Variational Inequalities for Machine Learning Neha S. Wadia Yatin Dandi Michael I. Jordan AI4CE 12 0 0 09 Sep 2023
Causal Strategic Learning with Competitive Selection Kiet Q. H. Vo Muneeb Aadil Siu Lun Chau Krikamol Muandet CML 17 2 0 30 Aug 2023
Unbiased Decisions Reduce Regret: Adversarial Domain Adaptation for the Bank Loan Problem Elena Gal Shaun Singh Aldo Pacchiano Benjamin Walker Terry Lyons Jakob N. Foerster FaML 20 0 0 15 Aug 2023
Online covariance estimation for stochastic gradient descent under Markovian sampling Abhishek Roy Krishnakumar Balasubramanian 24 5 0 03 Aug 2023
Fairness in KI-Systemen Janine Strotherm Alissa Müller Barbara Hammer Benjamin Paassen FaML 36 1 0 17 Jul 2023
Algorithms, Incentives, and Democracy E. M. Penn John W. Patty FaML 30 2 0 05 Jul 2023
Strategic Distribution Shift of Interacting Agents via Coupled Gradient Flows Lauren E. Conger Franca Hoffmann Eric Mazumdar Lillian J. Ratliff 37 4 0 03 Jul 2023
Insights From Insurance for Fair Machine Learning Christiane Fröhlich Robert C. Williamson FaML 23 6 0 26 Jun 2023
The Importance of Human-Labeled Data in the Era of LLMs Yang Liu ALM 17 8 0 18 Jun 2023
Evaluating Superhuman Models with Consistency Checks Lukas Fluri Daniel Paleka Florian Tramèr ELM 45 42 0 16 Jun 2023
Strategic Apple Tasting Keegan Harris Chara Podimata Zhiwei Steven Wu 21 6 0 09 Jun 2023
Auditing for Human Expertise Rohan Alur Loren Laine Darrick K. Li Manish Raghavan Devavrat Shah Dennis L. Shung 6 7 0 02 Jun 2023
The Risks of Recourse in Binary Classification H. Fokkema Damien Garreau T. Erven FaML 24 4 0 01 Jun 2023
Plug-in Performative Optimization Licong Lin Tijana Zrnic 35 11 0 30 May 2023
Incentivizing honest performative predictions with proper scoring rules Caspar Oesterheld Johannes Treutlein Emery Cooper Rubi Hudson 33 5 0 28 May 2023
Choosing the Right Weights: Balancing Value, Strategy, and Noise in Recommender Systems S. Milli Emma Pierson Nikhil Garg 9 9 0 27 May 2023
Operationalizing Counterfactual Metrics: Incentives, Ranking, and Information Asymmetry S. Wang Stephen Bates P. Aronow Michael I. Jordan 24 1 0 24 May 2023
Online Learning in a Creator Economy Banghua Zhu Sai Praneeth Karimireddy Jiantao Jiao Michael I. Jordan 24 7 0 19 May 2023
A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making Systems Nicolò Pagan Joachim Baumann Ezzat Elokda Giulia De Pasquale S. Bolognani Anikó Hannák 35 23 0 10 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 Bandit Feedback: Learning through Reparameterization Yatong Chen Wei Tang Chien-Ju Ho Yang Liu 37 3 0 01 May 2023
Long-Term Fairness with Unknown Dynamics Tongxin Yin Reilly P. Raab M. Liu Yang Liu FaML 20 24 0 19 Apr 2023
Performative Prediction with Neural Networks Mehrnaz Mofakhami Ioannis Mitliagkas Gauthier Gidel 40 16 0 14 Apr 2023