Xingchen Ma

Computer Science · Physical Sciences

4h-index324citations9works0.02yr avg
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Research Topics

Machine Learning and Data Classification(4), Gaussian Processes and Bayesian Inference(3), Advanced Neural Network Applications(2), Advanced Multi-Objective Optimization Algorithms(2), Machine Learning and Algorithms(2)

Publications9 total

Structural Pruning of Pre-trained Language Models via Neural Architecture Search
arXiv (Cornell University)·2024Open Access
A Corrected Expected Improvement Acquisition Function Under Noisy Observations
arXiv (Cornell University)·2023· 1 citedOpen Access
Meta-Cal: Well-controlled Post-hoc Calibration by Ranking
arXiv (Cornell University)·2021· 2 citedOpen Access
Additive Tree-Structured Conditional Parameter Spaces in Bayesian Optimization: A Novel Covariance Function and a Fast Implementation
IEEE Transactions on Pattern Analysis and Machine Intelligence·2020· 9 citedOpen Access
Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization
arXiv (Cornell University)·2020· 2 citedOpen Access
Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization
Lirias (KU Leuven)·2020· 3 cited
A Bayesian Optimization Framework for Neural Network Compression
2019· 25 citedOpen Access
Cost-Sensitive Two-Stage Depression Prediction Using Dynamic Visual Clues
Lecture notes in computer science·2017· 17 cited
DepAudioNet
2016· 264 cited

Frequent Co-authors

Matthew B. Blaschko(6), Di Huang(2), Hongyu Yang(1), Qiang Chen(1), Yunhong Wang(1), Amal Rannen Triki(1), Maxim Berman(1), Christos Sagonas(1), Jacques Calì(1), Yunhong Wang(1), Yiding Wang(1), Han Zhou(1), Aaron Klein(1), Jacek Gołębiowski(1), Valerio Perrone(1), Cédric Archambeau(1)