Between integrals and optima: new methods for scalable machine learning
<p>The success of machine learning is due in part to the effectiveness of scalable computational methods, like stochastic gradient descent or Monte Carlo methods, that undergird learning algorithms. This thesis contributes four new scalable methods for distinct problems that arise in machine l...
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| Format: | Thesis |
| Language: | English |
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2020
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