Algorithmic Censoring in Dynamic Learning Systems

15 May 2023

Papers citing "Algorithmic Censoring in Dynamic Learning Systems"

8 / 8 papers shown

Title
Adaptive Bounded Exploration and Intermediate Actions for Data Debiasing Yifan Yang Yang Liu Parinaz Naghizadeh 46 1 0 10 Apr 2025
Generalization Error Bounds for Learning under Censored Feedback Yifan Yang Ali Payani Parinaz Naghizadeh Ardabili 33 0 0 14 Apr 2024
Recourse for reclamation: Chatting with generative language models Jennifer Chien Kevin R. McKee Jackie Kay William S. Isaac 27 0 0 21 Mar 2024
Strategic Usage in a Multi-Learner Setting Eliot Shekhtman Sarah Dean 37 2 0 29 Jan 2024
Domain constraints improve risk prediction when outcome data is missing S. Balachandar Nikhil Garg Emma Pierson CML OOD 23 7 0 06 Dec 2023
Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic Fairness Research with U.S. Fair Lending Regulation Indra Elizabeth Kumar Keegan E. Hines John P. Dickerson FaML 44 21 0 05 Oct 2022
Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification Youngseog Chung I. Char Han Guo J. Schneider W. Neiswanger 38 70 0 21 Sep 2021
On the Fairness of Causal Algorithmic Recourse Julius von Kügelgen Amir-Hossein Karimi Umang Bhatt Isabel Valera Adrian Weller Bernhard Schölkopf FaML 80 82 0 13 Oct 2020