On the impact of measure pre-conditionings on general parametric ML models and transfer learning via domain adaptation
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arXiv
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866914702039187456 |
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| author | García, Joaquín Sánchez |
| author_facet | García, Joaquín Sánchez |
| contents | We study a new technique for understanding convergence of learning agents under small modifications of data. We show that such convergence can be understood via an analogue of Fatou's lemma which yields gamma-convergence. We show it's relevance and applications in general machine learning tasks and domain adaptation transfer learning. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_02432 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | On the impact of measure pre-conditionings on general parametric ML models and transfer learning via domain adaptation García, Joaquín Sánchez Machine Learning Optimization and Control We study a new technique for understanding convergence of learning agents under small modifications of data. We show that such convergence can be understood via an analogue of Fatou's lemma which yields gamma-convergence. We show it's relevance and applications in general machine learning tasks and domain adaptation transfer learning. |
| title | On the impact of measure pre-conditionings on general parametric ML models and transfer learning via domain adaptation |
| topic | Machine Learning Optimization and Control |
| url | https://arxiv.org/abs/2403.02432 |