"reproducing kernel hilbert space" Papers
15 papers found
Conference
Doubly-Robust Estimation of Counterfactual Policy Mean Embeddings
Houssam Zenati, Bariscan Bozkurt, Arthur Gretton
NEURIPS 2025arXiv:2506.02793
1
citations
Dynamic Regret Reduces to Kernelized Static Regret
Andrew Jacobsen, Alessandro Rudi, Francesco Orabona et al.
NEURIPS 2025arXiv:2507.05478
2
citations
Generalization Bounds and Model Complexity for Kolmogorov–Arnold Networks
Xianyang Zhang, Huijuan Zhou
ICLR 2025arXiv:2410.08026
7
citations
Inverse Methods for Missing Data Imputation
Hao Wang, zhengnan li, Zhichao Chen et al.
NEURIPS 2025
ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models
Yassir Bendou, Amine Ouasfi, Vincent Gripon et al.
CVPR 2025arXiv:2501.11175
8
citations
Residual Kernel Policy Network: Enhancing Stability and Robustness in RKHS-Based Reinforcement Learning
Yixian Zhang, Huaze Tang, Huijing Lin et al.
ICLR 2025
1
citations
Support Vector Generation: Kernelizing Large Language Models for Efficient Zero‑Shot NLP
Shohei Ohsawa
NEURIPS 2025
Transfer Faster, Price Smarter: Minimax Dynamic Pricing under Cross-Market Preference Shift
Yi Zhang, Elynn Chen, Yujun Yan
NEURIPS 2025spotlightarXiv:2505.17203
1
citations
Adaptive Learning of Density Ratios in RKHS
Werner Zellinger, Stefan Kindermann, Sergei V. Pereverzyev
ICML 2024arXiv:2307.16164
7
citations
Correspondence-Free SE(3) Point Cloud Registration in RKHS via Unsupervised Equivariant Learning
Ray Zhang, Zheming Zhou, Min Sun et al.
ECCV 2024arXiv:2407.20223
5
citations
Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization
Xu Cai, Jonathan Scarlett
AAAI 2024paperarXiv:2401.05716
Kernel Semi-Implicit Variational Inference
Ziheng Cheng, Longlin Yu, Tianyu Xie et al.
ICML 2024arXiv:2405.18997
8
citations
M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy
Hansong Zhang, Shikun Li, Pengju Wang et al.
AAAI 2024paperarXiv:2312.15927
52
citations
On Hypothesis Transfer Learning of Functional Linear Models
Haotian Lin, Matthew Reimherr
ICML 2024arXiv:2206.04277
8
citations
Optimal Kernel Choice for Score Function-based Causal Discovery
Wenjie Wang, Biwei Huang, Feng Liu et al.
ICML 2024arXiv:2407.10132
4
citations