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Hoda Heidari

30 papers hereh-index 223.3k citations53 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author6
  • middle author15
  • last author8

Across the 29 of 30 papers where every author was matched, so the position is known.

fields
  • cs.LG9
  • cs.CY8
  • cs.GT8
  • cs.AI3
  • cs.HC1
  • stat.ML1
same name
  • Hoda Heidari — 10 papers, h 5
  • Hoda Heidari — 7 papers, h 3
  • Hoda Heidari — 7 papers, h 4
  • Hoda Heidari — 6 papers, h 4
  • Hoda Heidari — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20112025
most citedA Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices

196 citations · 606 across the 27 of their papers we have counts for

collaborators
Showing 2018Show all

3 papers · 1 filter

cs.LG2018

A Moral Framework for Understanding of Fair ML through Economic Models of Equality of Opportunity

Hoda Heidari, Michele Loi, Krishna P. Gummadi +1

We map the recently proposed notions of algorithmic fairness to economic models of Equality of opportunity (EOP)---an extensively studied ideal of fairness in political philosophy.…

cs.LG2018★ 196 cited

A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices

Till Speicher, Hoda Heidari, Nina Grgic-Hlaca +4

Discrimination via algorithmic decision making has received considerable attention. Prior work largely focuses on defining conditions for fairness, but does not define satisfactory…

cs.AI2018★ 46 cited

Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making

Hoda Heidari, Claudio Ferrari, Krishna P. Gummadi +1

We draw attention to an important, yet largely overlooked aspect of evaluating fairness for automated decision making systems---namely risk and welfare considerations. Our proposed…

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