space
Section for Cognitive Systems
DTU Compute

02901 Advanced Topics in Machine Learning: Fairness and Machine Learning

August 26-30, 2019 at the Section for Cognitive Systems, DTU Compute

Description

As the development of machine learning algorithms advances rapidly, they play larger and larger roles for our societies. People both in- and outside the technical domain are rightfully concerned about the fairness of such algorithms:How can we explain, justify and assign accountability for automated decisions made by complex ML models? How do deep learning algorithms propagate existing bias and stereotypes? How can we define and measure algorithmic fairness?While those questions certainly aren't engineering problems alone, this year's summer school will consider them from a technical perspective.

The course consists of five days (Mon-Friday) of lectures and exercises. The lectures will cover theoretical aspects such as explainability of deep learning models, causal reasoning and fairness metrics. Technical aspects, programming and application of the developed concepts will be explored in tutorials and exercises. The course (2.5 ECTS points) is passed by handing in a small report on one of the topics covered in the course and/or by presenting relevant work at a poster session.

Location

Technical University of Denmark, room TBA.

Hours

Every day August August 26-30, 2019, exact starting and end times TBA.

Lecturers

Speakers TBA, the following list of confirmed speakers will be updated with invited speakers and staff at the Section for Cognitive Systems throughout spring:

Course programme

A detailed course programme will be made available here.

Requirements

General understanding of machine learning, statistical modeling, mathematics and computer science. Programming experience, ideally in Python. For the course you are required to bring your own laptop computer with a Python installation.

Registration

As we anticipate more applicants than we have space for applicants will be selected based on their curriculum vitae (CV). To register please send an email to Wanja Andersenwaan@dtu.dk with your CV (maximum 2 pages). The CV has to be received no later than 14th of June. We will notify applicants regarding acceptance to the summer school 21th of June.

For academics (masters and PhD students) there is no registration fee for the course. For all other participants a course fee of DKK 8250 will be charged. Participants are to cover all other costs such as food, accommodation, and travel expenses.

Practical information

TBA

2018 version of 02901 Advanced Topics in Machine Learning

2017 version of 02901 Advanced Topics in Machine Learning

2016 version of 02901 Advanced Topics in Machine Learning

2015 version of 02901 Advanced Topics in Machine Learning

2014 version of 02901 Advanced Topics in Machine Learning

For further information, please contact:

DTU Compute, Section for Cognitive Systems, Building 321.
DTU logospace
space