Xingchen Ma
5 papers · 2019–2023 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(15)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(5)
Artificial Intelligence
(3)
Optimization & Theory · Machine Learning
(3)
Deep Learning
(2)
Application Areas
(2)
Optimization & Theory · Deep Learning
(2)
Mathematics & Optimization
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core AI
(1)
Core Methods
(1)
Learning Paradigms
(1)
Learning Types
(1)
Optimization
(1)
Keywords
bayesian optimization
(3)
gaussian process
(3)
neural network compression
(2)
acquisition function
(2)
expectation maximization
(1)
expected improvement
(1)
parameter optimization
(1)
probability calibration
(1)
cumulative regret
(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)
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