"reproducing kernel hilbert space" Papers
8 papers found
Inverse Methods for Missing Data Imputation
Hao Wang, zhengnan li, Zhichao Chen et al.
NeurIPS 2025poster
Adaptive Learning of Density Ratios in RKHS
Werner Zellinger, Stefan Kindermann, Sergei V. Pereverzyev
ICML 2024poster
Correspondence-Free SE(3) Point Cloud Registration in RKHS via Unsupervised Equivariant Learning
Ray Zhang, Zheming Zhou, Min Sun et al.
ECCV 2024posterarXiv: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 2024poster
M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy
Hansong Zhang, Shikun Li, Pengju Wang et al.
AAAI 2024paperarXiv:2312.15927
On Hypothesis Transfer Learning of Functional Linear Models
Haotian Lin, Matthew Reimherr
ICML 2024poster
Optimal Kernel Choice for Score Function-based Causal Discovery
Wenjie Wang, Biwei Huang, Feng Liu et al.
ICML 2024poster