The Algorithmic Foundations of Ethical Machine Learning

Class Logistics

Class times and location:

Office hours:

Contact information:

Resources/Books

Tentative schedule

. HW3 due.
August 24th Introduction to Privacy Slides
August 26th Definition of Differential Privacy Slides and lecture notes
August 31st The Randomized Response and the Laplace Mechanisms Lecture notes
September 2nd The Randomized Response and the Laplace Mechanisms (bis) See lecture notes above. HW1 released
September 7th The Exponential Mechanism. Properties of Differential Privacy. Lecture notes
September 9th The Gaussian Mechanism and Advanced Composition Lecture notes
September 14th Sparse Vector Technique Lecture notes
September 16th Sparse Vector Technique (bis) See above. HW1 due.
September 21st Small DB. Lecture notes
September 23rd Small DB (bis). See lecture notes above. HW2 out.
September 28th Private Multiplicative Weights Lecture notes
September 30th Private Multiplicative Weights(bis) TBA soon.
October 5th Class Presentations: Privacy Reading Privacy reading list
October 7th Class Presentations: Privacy Reading (bis)
October 12th Fall Break No lecture.
October 14rd Introduction to Fairness in Machine Learning Slides. HW2 due.
October 19th Formalizing Fairness and Assumptions Slides and Lecture notes.
October 21st Statistical Definitions of Fairness Lecture notes
October 26th No class (INFORMS) TBA soon.
October 28th No class (INFORMS). Paper reading summaries due.
November 2nd Statistical Definitions of Fairness, part 2: Incompatibility See previous lecture.
November 4th Interventions for Statistical Fairness. Lecture notes. HW3 out.
November 9th Individual Fairness. Lecture notes
November 11th Between individual and group fairness Lecture notes
November 16th Between individual and group fairness (bis) See last lecture.
November 18th Fairness and causality Lecture notes
November 23rd Fairness and causality (bis) See last lecture.
November 25th Thanksgiving; no class
November 30th Class presentations: fairness reading Instructions and reading list
December 2nd Class presentations: fairness reading See last lecture.
December 6th Project presentations Project Instructions.