Serena Wang
10 papers · 2019–2024 · 6 venues · across top CS/AI venues
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Achievements
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π Academic Marathon Β· Sprint π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Silver πΊοΈ Taxonomy Completionist (15)
π
Keyword Champion
(2)
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Trend Setter
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Century Club Β· Bronze
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Research topics
Keywords
constrained optimization
(4)
fairness metric
(2)
lagrange multiplier
(2)
robust optimization
(2)
statistical parity
(2)
algorithmic fairness
(2)
shape constraint
(2)
model calibration
(1)
posterior distribution
(1)
bayesian inference
(1)
machine learning fairness
(1)
importance sampling
(1)
kullback-leibler divergence
(1)
constraint satisfaction
(1)
noisy label
(1)
variational inference
(1)
correlated equilibrium
(1)
responsible ai
(1)
ranking model
(1)
machine learning
(1)
Papers
On Counterfactual Metrics for Social Welfare: Incentives, Ranking, and Information Asymmetry
AISTATS 2024
Robust distillation for worst-class performance: on the interplay between teacher and student objectives
UAI 2023
Variational refinement for importance sampling using the forward Kullback-Leibler divergence
UAI 2021
Approximate Heavily-Constrained Learning with Lagrange Multiplier Models
NeurIPS 2020
Deontological Ethics By Monotonicity Shape Constraints
AISTATS 2020
Pairwise Fairness for Ranking and Regression
AAAI 2020
Robust Optimization for Fairness with Noisy Protected Groups
NeurIPS 2020
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals
JMLR 2019
Shape Constraints for Set Functions
ICML 2019
Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints
ICML 2019