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On the Role of Noise in the Sample Complexity of Learning Recurrent Neural Networks: Exponential Gaps for Long Sequences Anonymous Author(s) Affiliation Address email
Recurrent Neural Networks (RNNs) are effective tools for processing sequential data.
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Mode Connectivity in Auction Design Christoph Hertrich
Optimal auction design is a fundamental problem in algorithmic game theory.
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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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Improved Algorithms for Collaborative PAC Learning
Neural Information Processing Systems http://nips.cc/
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Technology: Information Technology > Artificial Intelligence > Machine Learning > Computational Learning Theory (0.83)
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- North America > United States > Minnesota > Hennepin County > Minneapolis (0.14)
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- Information Technology > Artificial Intelligence > Representation & Reasoning > Uncertainty (0.68)
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- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning > Regression (0.47)