2024 "reproducing kernel hilbert space" Papers

7 papers found

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Conference

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Adaptive Learning of Density Ratios in RKHS

Werner Zellinger, Stefan Kindermann, Sergei V. Pereverzyev

ICML 2024posterarXiv:2307.16164

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 2024posterarXiv:2405.18997

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 2024posterarXiv:2206.04277

Optimal Kernel Choice for Score Function-based Causal Discovery

Wenjie Wang, Biwei Huang, Feng Liu et al.

ICML 2024posterarXiv:2407.10132