Till Speicher

About

I am a PhD student at the Max Planck Institute for Software Systems. My advisor is Krishna P. Gummadi.

My research interests are in the area of fairness in Machine Learning as well as understanding the effects of algorithmic decision making and digitalization on society.

I pursued my undergraduate studies in computer science at Saarland University.

Publications

• Potential for Discrimination in Online Targeted Advertising
  Till Speicher, Muhammad Ali, Giridhari Venkatadri, Filipe Nunes Ribeiro, George Arvanitakis, Fabrício Benevenuto, Krishna P. Gummadi, Patrick Loiseau, Alan Mislove
  Conference on Fairness, Accountability, and Transparency - FAT* 2018, New York, US, February 2018.
  [PDF]



• Reliable Learning by Subsuming a Trusted Model: Safe Exploration of the Space of Complex Models
  Till Speicher, Muhammad Bilal Zafar, Krishna P. Gummadi, Adish Singla and Adrian Weller
  Reliable Machine Learning in the Wild - ICML 2017 Workshop, Sydney, Australia, August 2017.
  [PDF]



• A Generalized Language Model as the Combination of Skipped n-grams and Modified Kneser-Ney Smoothing
  Rene Pickhardt, Thomas Gottron, Martin Körner, Paul Georg Wagner, Till Speicher, Steffen Staab
  ACL 2014, Baltimore, US, June 2014.
  



• A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices
  Till Speicher, Hoda Heidari, Nina Grgic-Hlaca, Krishna P. Gummadi, Adish Singla, Adrian Weller, Muhammad Bilal Zafar
  Under submission
  [PDF]