Caixing Wang

12 papers A* 4Journal 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
High-Dimensional Differentially Private Quantile Regression: Distributed Estimation and Statistical Inference.
CoRR
Ziliang Shen, Caixing Wang, Shaoli Wang, Yibo Yan
2025 J jnl
Inertial Quadratic Majorization Minimization with Application to Kernel Regularized Learning.
CoRR
Qiang Heng, Caixing Wang
2024 J jnl
Communication-Efficient Nonparametric Quantile Regression via Random Features.
J. Comput. Graph. Stat.
Caixing Wang, Tao Li, Xinyi Zhang, Xingdong Feng, Xin He
2024 J jnl
Deep Nonparametric Quantile Regression under Covariate Shift.
J. Mach. Learn. Res.
Xingdong Feng, Xin He, Yuling Jiao, Lican Kang, Caixing Wang
2024 A* conf
Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery.
ICML
Caixing Wang, Ziliang Shen
2024 J jnl
Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery.
CoRR
Caixing Wang, Ziliang Shen
2024 A* conf
Optimal Kernel Quantile Learning with Random Features.
ICML
Caixing Wang, Xingdong Feng
2024 J jnl
Optimal Kernel Quantile Learning with Random Features.
CoRR
Caixing Wang, Xingdong Feng
2024 A* conf
Towards Theoretical Understanding of Learning Large-scale Dependent Data via Random Features.
ICML
Chao Wang, Xin Bing, Xin He, Caixing Wang
2023 J jnl
Minimax Optimal Transfer Learning for Kernel-based Nonparametric Regression.
CoRR
Chao Wang, Caixing Wang, Xin He, Xingdong Feng
2023 A* conf
Towards a Unified Analysis of Kernel-based Methods Under Covariate Shift.
NeurIPS
Xingdong Feng, Xin He, Caixing Wang, Chao Wang, Jingnan Zhang
2023 J jnl
Towards a Unified Analysis of Kernel-based Methods Under Covariate Shift.
CoRR
Xingdong Feng, Xin He, Caixing Wang, Chao Wang, Jingnan Zhang
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski