Robust Bayesian Kernel Machine via Stein Variational Gradient Descent for Big Data-Reference-Cited by-同舟云学术

Robust Bayesian Kernel Machine via Stein Variational Gradient Descent for Big Data

Published:2018-07-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
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Author:

Nguyen Khanh¹,Le Trung²,Nguyen Tu Dinh²,Phung Dinh²,Webb Geoffrey I.²

Affiliation:

1. Deakin University, Melbourne, Australia

2. Monash University, Melbourne, Australia

Funder

This work is partially supported by the Australian Research Council under the Discovery Projects DP160109394 and DP150100031

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3219819.3220015

Reference27 articles.

1. Yoshua Bengio Olivier Delalleau and Nicolas L Roux. 2006. The curse of highly variable functions for local kernel machines. In Advances in neural information processing systems. 107--114. Yoshua Bengio Olivier Delalleau and Nicolas L Roux. 2006. The curse of highly variable functions for local kernel machines. In Advances in neural information processing systems. 107--114.

2. LIBSVM

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