Jessica Schrouff
7 papers · 2022–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (4) π Interdisciplinary Bridge π Cross-Pollinator (12)
πΊοΈ
Taxonomy Completionist
(12)
π₯
Mega-Team
(40)
Conferences
NIPS (3)
ICML (2)
AISTATS (1)
JMLR (1)
Top co-authors
Keywords
distribution shift
(3)
causal inference
(3)
domain generalization
(2)
multiclass classification
(1)
covariate shift
(1)
machine learning
(1)
conditional independence
(1)
data balancing
(1)
model deployment
(1)
bias reduction
(1)
demographic parity
(1)
latent subgroup shift
(1)
concept variable
(1)
proxy variable
(1)
machine learning theory
(1)
fairness transfer
(1)
domain adaptation
(1)
unsupervised domain adaptation
(1)
Papers
FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch
ICML 2025
Evaluating Model Bias Requires Characterizing its Mistakes
ICML 2024
Mind the Graph When Balancing Data for Fairness or Robustness
NIPS 2024
Adapting to Latent Subgroup Shifts via Concepts and Proxies
AISTATS 2023
A Reduction to Binary Approach for Debiasing Multiclass Datasets
NIPS 2022
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings
NIPS 2022
Underspecification Presents Challenges for Credibility in Modern Machine Learning
JMLR 2022