From Optimizing Engagement to Measuring Value

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From Optimizing Engagement to Measuring Value

21 August 2020

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Papers citing "From Optimizing Engagement to Measuring Value"

17 / 17 papers shown

Title
MultiScale Contextual Bandits for Long Term Objectives Richa Rastogi Yuta Saito Thorsten Joachims OffRL 84 0 0 22 Mar 2025
Large Language Models, and LLM-Based Agents, Should Be Used to Enhance the Digital Public Sphere Seth Lazar Luke Thorburn Tian Jin Luca Belli 31 4 0 15 Oct 2024
System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes Arpit Agarwal Nicolas Usunier A. Lazaric Maximilian Nickel 78 3 0 29 May 2024
The Fault in Our Recommendations: On the Perils of Optimizing the Measurable Omar Besbes Yash Kanoria Akshit Kumar 42 0 0 07 May 2024
From Model Performance to Claim: How a Change of Focus in Machine Learning Replicability Can Help Bridge the Responsibility Gap Tianqi Kou 131 1 0 19 Apr 2024
Accounting for AI and Users Shaping One Another: The Role of Mathematical Models Sarah Dean Evan Dong Meena Jagadeesan Liu Leqi 82 8 0 18 Apr 2024
Clickbait vs. Quality: How Engagement-Based Optimization Shapes the Content Landscape in Online Platforms Nicole Immorlica Meena Jagadeesan Brendan Lucier OffRL 95 12 0 18 Jan 2024
Embedding Democratic Values into Social Media AIs via Societal Objective Functions Chenyan Jia Michelle S. Lam Minh Chau Mai Jeffrey T. Hancock Michael S. Bernstein 54 32 0 26 Jul 2023
Multi-Target Multiplicity: Flexibility and Fairness in Target Specification under Resource Constraints J. Watson-Daniels Solon Barocas Jake M. Hofman Alexandra Chouldechova 64 13 0 23 Jun 2023
Optimization's Neglected Normative Commitments Benjamin Laufer T. Gilbert Helen Nissenbaum OffRL 64 6 0 27 May 2023
Choosing the Right Weights: Balancing Value, Strategy, and Noise in Recommender Systems S. Milli Emma Pierson Nikhil Garg 45 9 0 27 May 2023
Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making Luke M. Guerdan Amanda Coston Zhiwei Steven Wu Kenneth Holstein CML 82 30 0 13 Feb 2023
Trustworthy Social Bias Measurement Rishi Bommasani Percy Liang 76 11 0 20 Dec 2022
Measuring Disparate Outcomes of Content Recommendation Algorithms with Distributional Inequality Metrics Tomo Lazovich Luca Belli Aaron Gonzales Amanda Bower U. Tantipongpipat K. Lum Ferenc Huszár Rumman Chowdhury 77 17 0 03 Feb 2022
The MineRL BASALT Competition on Learning from Human Feedback Rohin Shah Cody Wild Steven H. Wang Neel Alex Brandon Houghton ... Stephanie Milani Nicholay Topin Pieter Abbeel Stuart J. Russell Anca Dragan 93 32 0 05 Jul 2021
On component interactions in two-stage recommender systems Jiri Hron K. Krauth Michael I. Jordan Niki Kilbertus CML LRM 74 31 0 28 Jun 2021
Avoiding Tampering Incentives in Deep RL via Decoupled Approval J. Uesato Ramana Kumar Victoria Krakovna Tom Everitt Richard Ngo Shane Legg 69 16 0 17 Nov 2020