Xingchen Ma
5 papers · 2019–2023 · 5 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (5) π Cross-Pollinator (10) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (13)
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Hot Topic Early Bird
Conferences
ACML (1)
AISTATS (1)
CVPR (1)
ICCV (1)
ICML (1)
Top co-authors
Keywords
gaussian process
(3)
bayesian optimization
(3)
acquisition function
(2)
neural network compression
(2)
expectation maximization
(1)
expected improvement
(1)
parameter optimization
(1)
probability calibration
(1)
ranking model
(1)
tree structure
(1)
personalized model
(1)
client heterogeneity
(1)
noisy observation
(1)
calibration error
(1)
classifier calibration
(1)
covariance function
(1)
conditional parameter space
(1)
post-hoc calibration
(1)
model compression
(1)
calibration map
(1)
Papers
A Corrected Expected Improvement Acquisition Function Under Noisy Observations
ACML 2023
Confidence-Aware Personalized Federated Learning via Variational Expectation Maximization
CVPR 2023
Meta-Cal: Well-controlled Post-hoc Calibration by Ranking
ICML 2021
Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization
AISTATS 2020
A Bayesian Optimization Framework for Neural Network Compression
ICCV 2019