Alexandra Chouldechova
10 papers · 2018–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (15) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Topic Evolution
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Mega-Team · Squad
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The Questioner
(2)
🔥
Unstoppable · Bronze
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Century Club · Bronze
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Keyword Collector
(51)
Top co-authors
Research topics
Keywords
fairness evaluation
(3)
algorithmic fairness
(2)
risk assessment
(2)
representational harm
(2)
bias mitigation
(1)
counterfactual prediction
(1)
model selection
(1)
doubly robust estimator
(1)
machine learning
(1)
observational data
(1)
occupation classification
(1)
word embedding
(1)
noise model
(1)
racial bia
(1)
gender bia
(1)
noisy label
(1)
sensitivity analysis
(1)
predictive bia
(1)
generative language model
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causal inference
(1)
Papers
Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge
ICML 2025
Taxonomizing Representational Harms using Speech Act Theory
ACL 2025
Understanding and Meeting Practitioner Needs When Measuring Representational Harms Caused by LLM-Based Systems
ACL 2025
SureMap: Simultaneous mean estimation for single-task and multi-task disaggregated evaluation
NeurIPS 2024
Unsupervised and Semi-Supervised Bias Benchmarking in Face Recognition
ECCV 2022
Characterizing Fairness Over the Set of Good Models Under Selective Labels
ICML 2021
Counterfactual Predictions under Runtime Confounding
NeurIPS 2020
Fairness Evaluation in Presence of Biased Noisy Labels
AISTATS 2020
What’s in a Name? Reducing Bias in Bios without Access to Protected Attributes
NAACL 2019
Does mitigating ML's impact disparity require treatment disparity?
NeurIPS 2018