Xingchen Ma

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 14

Top Topics

Covariance Function

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Aaron Klein, Jacek Golebiowski, Xingchen Ma, Valerio Perrone, Cédric Archambeau
Structural Pruning of Pre-trained Language Models via Neural Architecture Search. CoRR (2024)
Han Zhou, Xingchen Ma, Matthew B. Blaschko
A Corrected Expected Improvement Acquisition Function Under Noisy Observations. CoRR (2023)
Junyi Zhu, Xingchen Ma, Matthew B. Blaschko
Confidence-Aware Personalized Federated Learning via Variational Expectation Maximization. CVPR (2023)
Junyi Zhu, Xingchen Ma, Matthew B. Blaschko
Confidence-aware Personalized Federated Learning via Variational Expectation Maximization. CoRR (2023)
Han Zhou, Xingchen Ma, Matthew B. Blaschko
A Corrected Expected Improvement Acquisition Function Under Noisy Observations. ACML (2023)
Xingchen Ma, Matthew B. Blaschko
Meta-Cal: Well-controlled Post-hoc Calibration by Ranking. ICML (2021)
Xingchen Ma, Matthew B. Blaschko
Additive Tree-Structured Conditional Parameter Spaces in Bayesian Optimization: A Novel Covariance Function and a Fast Implementation. IEEE Trans. Pattern Anal. Mach. Intell. 43 (9) (2021)
Xingchen Ma, Matthew B. Blaschko
Meta-Cal: Well-controlled Post-hoc Calibration by Ranking. CoRR (2021)
Xingchen Ma, Matthew B. Blaschko
Additive Tree-Structured Conditional Parameter Spaces in Bayesian Optimization: A Novel Covariance Function and a Fast Implementation. CoRR (2020)
Xingchen Ma, Matthew B. Blaschko
Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization. AISTATS (2020)
Xingchen Ma, Matthew B. Blaschko
Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization. CoRR (2020)
Xingchen Ma, Amal Rannen Triki, Maxim Berman, Christos Sagonas, Jacques Calì, Matthew B. Blaschko
A Bayesian Optimization Framework for Neural Network Compression. ICCV (2019)
Xingchen Ma, Di Huang, Yunhong Wang, Yiding Wang
Cost-Sensitive Two-Stage Depression Prediction Using Dynamic Visual Clues. ACCV (2) (2016)
Xingchen Ma, Hongyu Yang, Qiang Chen, Di Huang, Yunhong Wang
DepAudioNet: An Efficient Deep Model for Audio based Depression Classification. AVEC@ACM Multimedia (2016)