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- W2912198713 abstract "Tail averaging consists in averaging the last examples in a stream. Common techniques either have a memory requirement which grows with the number of samples to average, are not available at every timestep or do not accomodate growing windows. We propose two techniques with a low constant memory cost that perform tail averaging with access to the average at every time step. We also show how one can improve the accuracy of that average at the cost of increased memory consumption." @default.
- W2912198713 created "2019-02-21" @default.
- W2912198713 creator A5071583471 @default.
- W2912198713 date "2019-02-13" @default.
- W2912198713 modified "2023-09-27" @default.
- W2912198713 title "Anytime Tail Averaging." @default.
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