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The Cost of Long Memory: State, Context, and Stability Complexity in Sequence Models

Song, Yuheng
arXiv (All) · Papers
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machine-learning
Long-range temporal dependence poses a resource question for sequence models: for a specified predictive-memory law, how much state, context, or dynamical criticality is required in order to forecast accurately? We study this question directly in forecasting risk. For algebraically decaying predicti
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