Xingchen Ma

According to our database, Xingchen Ma authored at least 8 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A Corrected Expected Improvement Acquisition Function Under Noisy Observations.

Han Zhou, Xingchen Ma, Matthew B. Blaschko

CoRR, 2023

Confidence-Aware Personalized Federated Learning via Variational Expectation Maximization.

Junyi Zhu, Xingchen Ma, Matthew B. Blaschko

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

Additive Tree-Structured Conditional Parameter Spaces in Bayesian Optimization: A Novel Covariance Function and a Fast Implementation.

Xingchen Ma, Matthew B. Blaschko

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Meta-Cal: Well-controlled Post-hoc Calibration by Ranking.

Xingchen Ma, Matthew B. Blaschko

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization.

Xingchen Ma, Matthew B. Blaschko

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

A Bayesian Optimization Framework for Neural Network Compression.

Xingchen Ma, Amal Rannen Triki, Maxim Berman, Christos Sagonas, Jacques Calì, Matthew B. Blaschko

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2016

DepAudioNet: An Efficient Deep Model for Audio based Depression Classification.

Xingchen Ma, Hongyu Yang, Qiang Chen, Di Huang, Yunhong Wang

Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge, 2016

Cost-Sensitive Two-Stage Depression Prediction Using Dynamic Visual Clues.

Xingchen Ma, Di Huang, Yunhong Wang, Yiding Wang

Proceedings of the Computer Vision - ACCV 2016, 2016