Skip to main navigation
Skip to search
Skip to main content
EdUHK Research Repository Home
About the Repository
Home
Researchers
Research Units
Projects
Research Outputs
Prizes and Awards
KT Activities
Search by expertise, name or affiliation
Achieving counterfactual fairness with imperfect structural causal model
Tri Dung DUONG
, Qian LI
,
Guandong XU
Offices of the President (P)
Research output
:
Contribution to journal
›
Articles
›
peer-review
3
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Achieving counterfactual fairness with imperfect structural causal model'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Structural Causal Models
100%
Counterfactual Fairness
100%
Model Prediction
66%
Causal Models
66%
Copyright
33%
Observational Data
33%
Poor Performance
33%
Superior Performance
33%
Source Code
33%
Misspecification
33%
Error Bound
33%
Game Model
33%
What-if
33%
Counterfactual Inference
33%
Actual World
33%
Minimax Model
33%
Minimax Game
33%
Fair Decisions
33%
Sensitive Groups
33%
Computer Science
Model Prediction
100%
Observational Data
50%
Source Codes
50%
Superior Performance
50%
Theoretic Model
50%
Mathematics
Causal Model
100%
Minimax
40%
Misspecification
20%
Observational Data
20%
Sensitive Group
20%
Source Coding
20%
Error Bound
20%
Actual World
20%
Engineering
Model Prediction
100%
Illustrates
50%
Error Bound
50%
Source Coding
50%