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Generalization in the Face of Adaptivity: A Bayesian Perspective
However, differential privacy's worst-case nature entails scaling such noise to the range of the queries even for
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Generalization in the Face of Adaptivity: A Bayesian Perspective
However, differential privacy's worst-case nature entails scaling such noise to the range of the queries even for
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Pareto Frontiers in Deep Feature Learning: Data, Compute, Width, and Luck Benjamin L. Edelman
This work investigates how these complexities necessarily arise for feature learning in the presence of computational-statistical gaps.
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Mechanic: A Learning Rate Tuner
Modern deep learning is driven by first-order stochastic optimization algorithms.
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