Jamie H Morgenstern
9 papers · 2015–2023 · 1 conference · across top CS/AI conferences
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
π Cross-Pollinator (14) π Renaissance Researcher (6) π Interdisciplinary Bridge π£ Hot Topic Early Bird π Academic Marathon (8)
πΊοΈ
Taxonomy Completionist
(28)
π§
Keyword Pioneer
π
Trend Setter
ποΈ
Keyword Collector
(51)
Conferences
NIPS (9)
Top co-authors
Research topics
Keywords
dimensionality reduction
(2)
revenue optimization
(2)
auction mechanism
(2)
regret bound
(2)
mechanism design
(2)
principal component analysis
(2)
contextual bandit
(2)
auction design
(2)
algorithmic fairness
(1)
statistical learning theory
(1)
privacy attack
(1)
sample complexity
(1)
active learning
(1)
low-rank approximation
(1)
domain adaptation
(1)
regret analysis
(1)
experimental design
(1)
semi-definite programming
(1)
reconstruction error
(1)
interactive learning
(1)
Papers
Doubly Constrained Fair Clustering
NIPS 2023
Scalable Membership Inference Attacks via Quantile Regression
NIPS 2023
Active Learning with Safety Constraints
NIPS 2022
Multi-Criteria Dimensionality Reduction with Applications to Fairness
NIPS 2019
Learning Auctions with Robust Incentive Guarantees
NIPS 2019
The Price of Fair PCA: One Extra dimension
NIPS 2018
A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem
NIPS 2018
Fairness in Learning: Classic and Contextual Bandits
NIPS 2016
On the Pseudo-Dimension of Nearly Optimal Auctions
NIPS 2015