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Caixing Wang

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

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze

Venues

ICML (3) JMLR (1) NeurIPS (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)

Research topics

Machine Learning (5) Core Methods (5) Mathematics & Optimization (4) Optimization (3) Application Areas (2) Mathematics (2) Optimization & Theory (2) Artificial Intelligence (1) Learning Paradigms (1)

Keywords

quantile regression (3) random feature (2) covariate shift (2) kernel methods (2) distribution shift (1) support recovery (1) kernel ridge regression (1) distributed estimation (1) learning rate (1) convergence rate (1) high dimensional (1) heavy-tailed noise (1) non-parametric method (1) error decomposition (1) neural network (1) exponential decay (1) double smoothing (1) polynomial decay (1) newton-type (1) learning accuracy (1)

Papers

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