Shuxiao Chen
6 papers · 2020–2023 · 4 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (12) π Conference Polyglot (4)
π
Cross-Pollinator
(12)
β
The Questioner
Conferences
JMLR (2)
NIPS (2)
AISTATS (1)
ICLR (1)
Top co-authors
Research topics
Keywords
empirical risk minimization
(2)
federated learning
(2)
data augmentation
(2)
variance reduction
(2)
group theory
(2)
minimax estimation
(1)
generalization ability
(1)
deep neural network
(1)
data heterogeneity
(1)
statistical heterogeneity
(1)
privacy guarantee
(1)
gaussian differential privacy
(1)
kernel methods
(1)
neural network
(1)
label-aware learning
(1)
local elasticity
(1)
privacy-preserving machine learning
(1)
record-level privacy
(1)
representation learning
(1)
neural tangent kernel
(1)
Papers
Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training?
JMLR 2023
Weighted Training for Cross-Task Learning
ICLR 2022
Federated f-Differential Privacy
AISTATS 2021
Label-Aware Neural Tangent Kernel: Toward Better Generalization and Local Elasticity
NIPS 2020
A Group-Theoretic Framework for Data Augmentation
NIPS 2020
A Group-Theoretic Framework for Data Augmentation
JMLR 2020