Aug 14, 2022 · We propose to corrupt data examples with noise from known distributions and present a new kernel mean estimator, called the marginalized kernel mean estimator.
Jul 10, 2021 · In this work, we propose to corrupt data examples with noise from known distributions and present a new kernel mean estimator, called the marginalized kernel ...
Corruption. Conference Paper. Sample-Efficient Kernel Mean Estimator with Marginalized Corrupted Data. August 2022. DOI:10.1145/3534678.3539318. Conference: KDD ...
Sep 9, 2024 · In this work, we propose to corrupt data examples with noise from ... supervised and unsupervised learning methods that rely on corrupted data.
Kernel Mean Estimation by Marginalized Corrupted Distributions. @article ... Computer Science, Mathematics. TLDR. This work proposes to corrupt data examples ...
In this work, we propose to corrupt data examples with noise from known ... marginalized kernel mean estimator, which estimates kernel mean under the corrupted ...
Missing: Efficient | Show results with:Efficient
Sample-Efficient Kernel Mean Estimator with Marginalized Corrupted Data · Xiaobo XiaShuo Shan +4 authors. Tongliang Liu. Computer Science, Mathematics. KDD.
Sample-Efficient Kernel Mean Estimator with Marginalized Corrupted Data. X Xia, S Shan, M Gong, N Wang, F Gao, H Wei, T Liu. Proceedings of the 28th ACM SIGKDD ...
Readers: Everyone. Sample-Efficient Kernel Mean Estimator with Marginalized Corrupted Data · hmtl icon · Xiaobo Xia, Shuo Shan, Mingming Gong, Nannan Wang, Fei ...
Aug 27, 2024 · Sample-Efficient Kernel Mean Estimator with Marginalized Corrupted Data. KDD 2022: 2110-2119; 2021. [i1]. view. electronic edition @ arxiv.org ...