Jamie Morgenstern
13 papers · 2015–2024 · 6 venues · across top CS/AI venues
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Achievements
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๐ Academic Marathon ยท Sprint ๐ฃ Hot Topic Early Bird ๐ Interdisciplinary Bridge ยท Bronze ๐ Conference Polyglot ยท Silver ๐บ๏ธ Taxonomy Completionist (22)
๐
Keyword Champion
(4)
๐
Trend Setter
๐
Century Club ยท Bronze
๐๏ธ
Keyword Collector
(62)
Top co-authors
Research topics
Keywords
fairness constraint
(4)
group fairness
(2)
algorithmic fairness
(2)
multi-task learning
(1)
spectral clustering
(1)
game theory
(1)
non-convex optimization
(1)
posterior sampling
(1)
loss landscape
(1)
fair classification
(1)
network formation
(1)
gradient descent
(1)
multi-agent learning
(1)
optimal policy
(1)
bandit feedback
(1)
linear regression
(1)
data summarization
(1)
stochastic block model
(1)
learning algorithm
(1)
machine unlearning
(1)
Papers
Emergent specialization from participation dynamics and multi-learner retraining
AISTATS 2024
Fair Active Learning in Low-Data Regimes
UAI 2024
Initializing Services in Interactive ML Systems for Diverse Users
NeurIPS 2024
Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable
NeurIPS 2024
Active Sampling for Min-Max Fairness
ICML 2022
Individual Preference Stability for Clustering
ICML 2022
Equalized odds postprocessing under imperfect group information
AISTATS 2020
Fair k-Center Clustering for Data Summarization
ICML 2019
Guarantees for Spectral Clustering with Fairness Constraints
ICML 2019
Network Formation under Random Attack and Probabilistic Spread
IJCAI 2019
Fairness in Reinforcement Learning
ICML 2017
Learning Simple Auctions
COLT 2016
Impartial Peer Review
IJCAI 2015