AdaGeo: Adaptive geometric learning for optimization and sampling
Gradient-based optimization and Markov Chain Monte Carlo sampling can be found at the heart of a multitude of machine learning methods. In high-dimensional settings, well-known issues such as slow-mixing, non-convexity and correlations can hinder the algorithms’ efficiency. In order to overcome thes...
| Главные авторы: | , , , |
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| Формат: | Conference item |
| Опубликовано: |
Proceedings of Machine Learning Research
2018
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