On Seven Fundamental Optimization Challenges in Machine Learning
Many recent successes of machine learning went hand in hand with advances in optimization. The exchange of ideas between these fields has worked both ways, with ' learning building on standard optimization procedures such as gradient descent, as well as with new directions in the optimization t...
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| Language: | en |
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2021
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| Online Access: | Mishchenko, K. (2021). On Seven Fundamental Optimization Challenges in Machine Learning. KAUST Research Repository. https://doi.org/10.25781/KAUST-NV6UI http://hdl.handle.net/10754/672859 |