Mahed Abroshan
7 papers · 2021–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (4) π£ Hot Topic Early Bird π Cross-Pollinator (13) π Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(16)
Conferences
AAAI (2)
AISTATS (2)
NIPS (2)
ICML (1)
Top co-authors
Keywords
bias mitigation
(2)
equal opportunity
(2)
fairness constraint
(2)
supervised learning
(2)
non-convex optimization
(1)
entropy minimization
(1)
interpretable machine learning
(1)
adversarial training
(1)
feature importance
(1)
synthetic data generation
(1)
model interpretability
(1)
covariate shift
(1)
gradient descent
(1)
generalization error
(1)
distribution shift
(1)
convex programming
(1)
exponential mechanism
(1)
adversarial attack
(1)
generalization bound
(1)
neural network robustness
(1)
Papers
Imposing Fairness Constraints in Synthetic Data Generation
AISTATS 2024
SuperDeepFool: a new fast and accurate minimal adversarial attack
NIPS 2024
Symbolic Metamodels for Interpreting Black-Boxes Using Primitive Functions
AAAI 2023
Loss Balancing for Fair Supervised Learning
ICML 2023
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift
AISTATS 2022
Improving Fairness and Privacy in Selection Problems
AAAI 2021
Fair Sequential Selection Using Supervised Learning Models
NIPS 2021