MPI-INF Logo
Campus Event Calendar

Event Entry

What and Who

From Resource Allocation to Machine Learning: Fairness Through Computation and Fairness in Computation

Bhaskar Ray Chaudhury
University of Illinois Urbana-Champaign, USA
CIS@MPG Tenure-Track Faculty

Bhaskar Ray Chaudhury is currently a Future Faculty Fellow at the University of Illinois at Urbana Champaign. He received his PhD from Max Planck Institute for Informatics under the supervision of Kurt Mehlhorn and Karl Bringmann. He is broadly interested in economics and computation, computational social choice theory, and machine learning. His work on computational social choice was recognized by the Exemplary Paper in the Theory Track Award and the Best Paper with a Student Lead Author Award at the 21st ACM conference on Economics and Computation (EC 2020). He is also the recipient of the "Teachers Ranked Excellent by Students" award at UIUC.
AG 1, AG 2, AG 3, INET, AG 4, AG 5, D6, SWS, RG1, MMCI  
MPI Audience
English

Date, Time and Location

Friday, 3 March 2023
09:30
60 Minutes
E1 5
002
Saarbrücken

Abstract

From Plato's Republica to John Rawl's Theory of Justice, every major work on the ethical foundations of human society, has held fairness at its zenith. Today, in the age of algorithms, we are equipped with substantial computational resources, and rigorous data driven decision making processes, to address the fairness concerns better than ever (fairness through computation). Conversely, with algorithms used extensively to make decisions of large societal impact, fairness has also evolved to be an integral requirement of several algorithmic paradigms (fairness in computation). In this talk, I discuss my work pushing the frontiers on both.

(i) Fairness through computation: We give algorithmic solutions to two fundamental fairness problems in game theory.

(ii) Fairness in Computation: We describe efficient algorithms integrating fairness notions and guarantees from social choice theory, and microeconomics to fairness demanding settings in machine learning like federated learning and fairness aware classification.

Bhaskar is a CIS@MPG tenure-track faculty candidate hosted by Prof. Dr. Danupon Na Nongkai.

Contact

Stefanie Katja Harres
+49 681 9325 1002
--email hidden

Virtual Meeting Details

Zoom
925 3862 0453
passcode not visible
logged in users only

Stefanie Katja Harres, 02/22/2023 14:46
Stefanie Katja Harres, 02/22/2023 10:34
Stefanie Katja Harres, 02/22/2023 10:29 -- Created document.