Learning with semi-definite programming: statistical bounds based on fixed point analysis and excess risk curvature
Many statistical learning problems have recently been shown to be amenable to Semi-Definite Programming (SDP), with community detection and clustering in Gaussian mixture models as the most striking instances Javanmard et al. (2016). Given the growing range of applications of SDP-based techniques to...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Journal of Machine Learning Research
2021
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