Jeongyoun Ahn
5 papers · 2022–2024 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(13)
🐣
Hot Topic Early Bird
🏆
Keyword Champion
(3)
Venues
Research topics
Keywords
kernel methods
(4)
compositional data
(3)
principal component analysis
(1)
kernel principal component analysis
(1)
kernel learning
(1)
reproducing kernel hilbert space
(1)
statistical estimation
(1)
nystrom method
(1)
kernel mean embedding
(1)
nyström method
(1)
minimax risk
(1)
support vector machine
(1)
kernel embedding
(1)
high-dimensional data
(1)
random feature
(1)
scalable kernel
(1)
functional data
(1)
spherical harmonics
(1)
sufficient dimension reduction
(1)
local differential privacy
(1)
Papers
Differential Privacy in Scalable General Kernel Learning via K-means Nystr\"om Random Features
NeurIPS 2024
Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation
ICML 2023
Minimax Risks and Optimal Procedures for Estimation under Functional Local Differential Privacy
NeurIPS 2023
Reproducing Kernels and New Approaches in Compositional Data Analysis
JMLR 2023
Kernel Methods for Radial Transformed Compositional Data with Many Zeros
ICML 2022