Alexandra Chouldechova
10 papers · 2018–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (6) π Academic Marathon (7) π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (13)
π
Conference Polyglot
(6)
π
Academic Marathon
(7)
π
Renaissance Researcher
(5)
π₯
Mega-Team
(20)
π
Century Club
(10)
β
The Questioner
(2)
π₯
Unstoppable
(5)
Conferences
NIPS (3)
ACL (2)
ICML (2)
AISTATS (1)
ECCV (1)
NAACL (1)
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 datum
(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
(1)
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
NIPS 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
Fairness Evaluation in Presence of Biased Noisy Labels
AISTATS 2020
Counterfactual Predictions under Runtime Confounding
NIPS 2020
Whatβs in a Name? Reducing Bias in Bios without Access to Protected Attributes
NAACL 2019
Does mitigating ML's impact disparity require treatment disparity?
NIPS 2018