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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
About me
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Posts
publications
Discovering Fair Representations in the Data Domain Permalink
Published in CVPR, 2019
We propose to cast fair representations as data-to-data translation.
Download here
Null-sampling for Interpretable and Fair Representations Permalink
Published in ECCV, 2020
Representations in the data domain, but with invertible networks.
Download here
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.
Download here
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.