Two Studies of Constraints in High Dimensions: Entropy Inequalities and the Randomized Symmetric Binary Perceptron
We study two constrained problems in high dimensions. We study a high dimensional inequality for the binary entropy. The perceptron is a natural model in high-dimensional probability, and a toy shallow neural network which stores random patterns; we also study a randomized variant of the symmetric b...
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Format: | Thesis |
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Massachusetts Institute of Technology
2024
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Online Access: | https://hdl.handle.net/1721.1/153999 |