Discovering Fair Representations in the Data Domain Permalink
Published in CVPR, 2019
We propose to cast fair representations as data-to-data translation.
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Posts by Collection
publications
Null-sampling for Interpretable and Fair Representations Permalink
Published in ECCV, 2020
Representations in the data domain, but with invertible networks.
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An Algorithmic Framework for Positive Action Permalink
Published in EAAMO, 2021
Positive action is a way to promote under-represented groups within the bounds of anti-discrimination legislature. We make a first attempt at applying it in a machine learning context.
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software
Causal Discovery Tool
Published:
Learn Causal Models from data
Data Science Types
Published:
Type Stubs for Python
EthicML
Published:
Fairness in Machine Learning Evaluation Library
talks
Introduction to Fair Machine Learning
Published:
I presented on Algorithmic Fairness at the Data Intensive Sciences Centre at the University of Sussex Summer School as part of a workstream on transparency and ethical use of data.
Does Fairness Come with a Cost?
Published:
I was asked to give a talk on Algorithmic Fairness at the Fields Institue in Toronto at the Data Science an Optimization Conference.
Introduction to Fair Machine Learning
Published:
I gave a talk on the topic of Algorithmic Fairness to students at the Lviv Machine Learning Summer School.
Tools and tenets for ML and Python
Published:
Along with my colleagues Myles Bartlett and Thomas Kehrenberg, I gave a talk about the tools and philoshophies we use on a daily basis.
teaching
Topics in Computing Module
Masters course, University of Sussex, Department of Informatics, 2018
Topics in Computer Science is a module exclusively available to students on the Computer Science integrated masters course at the University of Sussex. It comprises of 6 topics of interest from research groups within the Department of Informatics.
Machine Learning - Logistic Regression Lecture
Masters course, University of Sussex, Department of Informatics, 2019
At the University of Sussex, we provide an M.Sc. course in Machine Learning. I presented the lecture on Logistic Regression.
Topics in Computing Module
Masters course, University of Sussex, Department of Informatics, 2020
Topics in Computer Science is a module exclusively available to students on the Computer Science integrated masters course at the University of Sussex. It comprises of 6 topics of interest from research groups within the Department of Informatics.