Fast DPP Sampling for Nyström with Application to Kernel Methods
The Nyström method has long been popular for scaling up kernel methods. Its theoretical guarantees and empirical performance rely critically on the quality of the landmarks selected. We study landmark selection for Nyström using Determinantal Point Processes (Dpps), discrete probability models that...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Proceedings of Machine Learning Research
2018
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| Online Access: | http://hdl.handle.net/1721.1/113415 https://orcid.org/0000-0003-1532-3083 https://orcid.org/0000-0002-6121-9474 https://orcid.org/0000-0001-8516-4925 |