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← Authors

Caixing Wang

5 papers · 2023–2024 · 3 conferences · across top CS/AI conferences

Achievements

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🌍 Conference Polyglot (3) 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (15)

Conferences

ICML (3) JMLR (1) NIPS (1)

Top co-authors

XIN HE (3) Xingdong Feng (3) Chao Wang (2) Ziliang Shen (1) Yuling Jiao (1) Xin Bing (1) Lican Kang (1) Jingnan Zhang (1)

Keywords

covariate shift (2) reproducing kernel hilbert space (1) quantile regression (1) nonparametric regression (1) importance weighting (1) distribution shift (1) convergence rate (1) nonparametric method (1) kernel methods (1) domain adaptation (1) neural network (1)

Papers

Towards Theoretical Understanding of Learning Large-scale Dependent Data via Random Features ICML 2024 Optimal Kernel Quantile Learning with Random Features ICML 2024 Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery ICML 2024 Deep Nonparametric Quantile Regression under Covariate Shift JMLR 2024 Towards a Unified Analysis of Kernel-based Methods Under Covariate Shift NIPS 2023