Accounting for AI and Users Shaping One Another: The Role of Mathematical Models

18 April 2024

Papers citing "Accounting for AI and Users Shaping One Another: The Role of Mathematical Models"

21 / 21 papers shown

Title
Fine-Tuning Games: Bargaining and Adaptation for General-Purpose Models Benjamin Laufer Jon M. Kleinberg Hoda Heidari 116 10 0 03 Jan 2025
Clickbait vs. Quality: How Engagement-Based Optimization Shapes the Content Landscape in Online Platforms Nicole Immorlica Meena Jagadeesan Brendan Lucier OffRL 71 12 0 18 Jan 2024
Matching of Users and Creators in Two-Sided Markets with Departures Daniel Huttenlocher Hannah Li Liang Lyu Asuman Ozdaglar James Siderius 49 6 0 30 Dec 2023
User Strategization and Trustworthy Algorithms Sarah H. Cen Andrew Ilyas Aleksander Madry 13 3 0 29 Dec 2023
Improved Bayes Risk Can Yield Reduced Social Welfare Under Competition Meena Jagadeesan Michael I. Jordan Jacob Steinhardt Nika Haghtalab 67 12 0 26 Jun 2023
How Bad is Top- $K$ Recommendation under Competing Content Creators? Fan Yao Chuanhao Li Denis Nekipelov Hongning Wang Haifeng Xu 72 27 0 03 Feb 2023
Learning to Suggest Breaks: Sustainable Optimization of Long-Term User Engagement Eden Saig Nir Rosenfeld 53 4 0 24 Nov 2022
Modeling Content Creator Incentives on Algorithm-Curated Platforms Jiri Hron K. Krauth Michael I. Jordan Niki Kilbertus Sarah Dean 77 40 0 27 Jun 2022
Preference Dynamics Under Personalized Recommendations Sarah Dean Jamie Morgenstern 114 35 0 25 May 2022
Estimating and Penalizing Induced Preference Shifts in Recommender Systems Micah Carroll Anca Dragan Stuart J. Russell Dylan Hadfield-Menell OffRL 103 44 0 25 Apr 2022
A Last Switch Dependent Analysis of Satiation and Seasonality in Bandits Pierre Laforgue Giulia Clerici Nicolò Cesa-Bianchi Ran Gilad-Bachrach 34 9 0 22 Oct 2021
Do Offline Metrics Predict Online Performance in Recommender Systems? K. Krauth Sarah Dean Alex Zhao Wenshuo Guo Mihaela Curmei Benjamin Recht Michael I. Jordan OffRL 61 41 0 07 Nov 2020
Hidden Incentives for Auto-Induced Distributional Shift David M. Krueger Tegan Maharaj Jan Leike 67 52 0 19 Sep 2020
From Optimizing Engagement to Measuring Value S. Milli Luca Belli Moritz Hardt 33 47 0 21 Aug 2020
Performative Prediction Juan C. Perdomo Tijana Zrnic Celestine Mendler-Dünner Moritz Hardt 142 321 0 16 Feb 2020
RecSim: A Configurable Simulation Platform for Recommender Systems Eugene Ie Chih-Wei Hsu Martin Mladenov Vihan Jain Sanmit Narvekar Jing Wang Rui Wu Craig Boutilier 105 183 0 11 Sep 2019
Degenerate Feedback Loops in Recommender Systems Ray Jiang Silvia Chiappa Tor Lattimore András Gyorgy Pushmeet Kohli 40 196 0 27 Feb 2019
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility A. Chaney Brandon M Stewart Barbara E. Engelhardt CML 211 316 0 30 Oct 2017
Rotting Bandits Nir Levine K. Crammer Shie Mannor 54 102 0 23 Feb 2017
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 302 2,121 0 24 Oct 2016
Inherent Trade-Offs in the Fair Determination of Risk Scores Jon M. Kleinberg S. Mullainathan Manish Raghavan FaML 122 1,775 0 19 Sep 2016