sample complexity
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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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Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (1.00)
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The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model Laixi Shi Caltech Gen Li
In this paper, we are particularly interested in understanding whether, and how, the choice of distributional robustness bears statistical implications in learning the desired policy, by studying the sample complexity in the widely-used generative model (Kearns and Singh, 1999).
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Debiasing Conditional Stochastic Optimization Lie He
The sample-averaged gradient of the CSO objective is biased due to its nested structure, and therefore requires a high sample complexity for convergence. We introduce a general stochastic extrapolation technique that effectively reduces the bias.
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