SCALES: From Fairness Principles to Constrained Decision-Making
10.1145/3514094.3534190
Saved in:
Main Authors: | Balakrishnan, Sreejith, Bi, Jianxin, Soh, Harold |
---|---|
Other Authors: | DEPARTMENT OF COMPUTER SCIENCE |
Format: | Conference or Workshop Item |
Published: |
ACM
2022
|
Subjects: | |
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/230577 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
TOWARDS HUMAN-CENTRIC AI: INVERSE REINFORCEMENT LEARNING MEETS ALGORITHMIC FAIRNESS
by: SREEJITH BALAKRISHNAN
Published: (2023) -
NPE-DRL: enhancing perception constrained obstacle avoidance with non-expert policy guided reinforcement learning
by: Zhang, Yuhang, et al.
Published: (2024) -
Learning to assign: Towards fair task assignment in large-scale ride hailing
by: SHI, Dingyuan, et al.
Published: (2021) -
FAIR DECISION MAKING VIA AUTOMATED REPAIR OF DECISION TREES
by: ZHANG JIANG
Published: (2022) -
Adaptive fairness improvement based causality analysis
by: ZHANG, Mengdi, et al.
Published: (2022)