Jeongyoun Ahn
5 papers · 2022–2024 · 3 conferences · across top CS/AI conferences
Achievements
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๐ Conference Polyglot (3) ๐ฃ Hot Topic Early Bird ๐งญ Keyword Pioneer ๐ Interdisciplinary Bridge ๐ Cross-Pollinator (11)
๐บ๏ธ
Taxonomy Completionist
(13)
๐
Keyword Champion
(3)
Conferences
ICML (2)
NIPS (2)
JMLR (1)
Research topics
Keywords
kernel methods
(4)
compositional datum
(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)
nystrรถm method
(1)
minimax risk
(1)
support vector machine
(1)
kernel embedding
(1)
high-dimensional datum
(1)
random feature
(1)
scalable kernel
(1)
functional datum
(1)
spherical harmonics
(1)
sufficient dimension reduction
(1)
local differential privacy
(1)
Papers
Differential Privacy in Scalable General Kernel Learning via $K$-means Nystr{\"o}m Random Features
NIPS 2024
Minimax Risks and Optimal Procedures for Estimation under Functional Local Differential Privacy
NIPS 2023
Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation
ICML 2023
Reproducing Kernels and New Approaches in Compositional Data Analysis
JMLR 2023
Kernel Methods for Radial Transformed Compositional Data with Many Zeros
ICML 2022