Ma, Xingchen

6 publications

TMLR 2024 Structural Pruning of Pre-Trained Language Models via Neural Architecture Search Aaron Klein, Jacek Golebiowski, Xingchen Ma, Valerio Perrone, Cedric Archambeau

ACML 2023 A Corrected Expected Improvement Acquisition Function Under Noisy Observations Han Zhou, Xingchen Ma, Matthew B Blaschko

CVPR 2023 Confidence-Aware Personalized Federated Learning via Variational Expectation Maximization Junyi Zhu, Xingchen Ma, Matthew B. Blaschko

NeurIPSW 2022 Tackling Personalized Federated Learning with Label Concept Drift via Hierarchical Bayesian Modeling Xingchen Ma, Junyi Zhu, Matthew B. Blaschko

ICML 2021 Meta-Cal: Well-Controlled Post-Hoc Calibration by Ranking Xingchen Ma, Matthew B. Blaschko

AISTATS 2020 Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization Xingchen Ma, Matthew Blaschko