Rethinking Algorithm Design for Modern Challenges in Data Science
Heuristics centered around gradient descent and function approximation by neural networks have proven wildly successful for a number of fundamental data science tasks, so much so that it is easy to lose sight of how far we are from understanding why they work so well. Can we design learning algor...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2022
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| Online Access: | https://hdl.handle.net/1721.1/139922 |