Jamie H Morgenstern
9 papers · 2015–2023 · 1 venue · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (26) π Interdisciplinary Bridge Β· Bronze π Academic Marathon Β· Sprint π£ Hot Topic Early Bird π§ Keyword Pioneer
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(52)
Venues
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Research topics
Machine Learning
(9)
Optimization & Theory
(6)
Application Areas
(5)
Core Methods
(5)
Learning Types Β· Machine Learning
(4)
Artificial Intelligence
(3)
Mathematics & Optimization
(2)
Core AI
(2)
Learning Paradigms
(2)
Optimization
(2)
Deep Learning
(1)
Reinforcement Learning
(1)
Security & Privacy
(1)
Learning Types Β· Deep Learning
(1)
Mathematics
(1)
Keywords
mechanism design
(2)
revenue optimization
(2)
auction mechanism
(2)
dimensionality reduction
(2)
principal component analysis
(2)
regret bound
(2)
contextual bandit
(2)
auction design
(2)
algorithmic fairness
(1)
privacy attack
(1)
active learning
(1)
statistical learning theory
(1)
sample complexity
(1)
domain adaptation
(1)
semidefinite programming
(1)
regret analysis
(1)
experimental design
(1)
quantile regression
(1)
reconstruction error
(1)
interactive learning
(1)
Papers
Doubly Constrained Fair Clustering
NeurIPS 2023
Scalable Membership Inference Attacks via Quantile Regression
NeurIPS 2023
Active Learning with Safety Constraints
NeurIPS 2022
Learning Auctions with Robust Incentive Guarantees
NeurIPS 2019
Multi-Criteria Dimensionality Reduction with Applications to Fairness
NeurIPS 2019
A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem
NeurIPS 2018
The Price of Fair PCA: One Extra dimension
NeurIPS 2018
Fairness in Learning: Classic and Contextual Bandits
NeurIPS 2016
On the Pseudo-Dimension of Nearly Optimal Auctions
NeurIPS 2015