Dylan Sam
8 papers · 2021–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (6) π Cross-Pollinator (12) πΊοΈ Taxonomy Completionist (13)
π
Grand Slam
Conferences
AISTATS (2)
ICLR (2)
AAAI (1)
ICML (1)
NIPS (1)
UAI (1)
Top co-authors
Keywords
weakly supervised learning
(2)
learning theory
(1)
image classification
(1)
adversarial learning
(1)
semi-supervised learning
(1)
algorithmic fairness
(1)
feature selection
(1)
weak supervision
(1)
empirical risk minimization
(1)
majority vote
(1)
label noise
(1)
multi-class classification
(1)
rademacher complexity
(1)
label aggregation
(1)
variational approximation
(1)
risk estimation
(1)
observational study
(1)
loss function
(1)
noisy label
(1)
unobserved confounding
(1)
Papers
Auditing Fairness under Unobserved Confounding
AISTATS 2024
Computing Low-Entropy Couplings for Large-Support Distributions
UAI 2024
Understanding prompt engineering may not require rethinking generalization
ICLR 2024
Label Propagation with Weak Supervision
ICLR 2023
Losses over Labels: Weakly Supervised Learning via Direct Loss Construction
AAAI 2023
Learning with Explanation Constraints
NIPS 2023
Adversarial Multi Class Learning under Weak Supervision with Performance Guarantees
ICML 2021
Semi-Supervised Aggregation of Dependent Weak Supervision Sources With Performance Guarantees
AISTATS 2021