AdaGeo: Adaptive geometric learning for optimization and sampling

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...

書誌詳細
主要な著者:	Abbati, G, Tosi, A, Osborne, M, Flaxman, S
フォーマット:	Conference item
出版事項:	Proceedings of Machine Learning Research 2018

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