Xingchen Ma

15 papers A* 3A 1C 1Journal 8Unranked 2

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