On the impact of measure pre-conditionings on general parametric ML models and transfer learning via domain adaptation
<|reference_start|>On the impact of measure pre-conditionings on general parametric ML models and transfer learning via domain adaptation: 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.<|reference_end|>
@article{garcía2024on,
    title={On the impact of measure pre-conditionings on general parametric ML
  models and transfer learning via domain adaptation},
    author={Joaqu'in S'anchez Garc'ia},
    journal={arXiv preprint arXiv:2403.02432},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.02432},
    primaryClass={stat.ML cs.LG math.OC}
}