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2008.12623
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From Optimizing Engagement to Measuring Value
21 August 2020
S. Milli
Luca Belli
Moritz Hardt
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Papers citing
"From Optimizing Engagement to Measuring Value"
17 / 17 papers shown
Title
MultiScale Contextual Bandits for Long Term Objectives
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Large Language Models, and LLM-Based Agents, Should Be Used to Enhance the Digital Public Sphere
Seth Lazar
Luke Thorburn
Tian Jin
Luca Belli
29
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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
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29 May 2024
The Fault in Our Recommendations: On the Perils of Optimizing the Measurable
Omar Besbes
Yash Kanoria
Akshit Kumar
42
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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
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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
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