Coherent swap regret and channel-proof learning
AFBytes Brief
The authors define coherent swap regret and examine learning that remains robust to channel effects.
Why this matters
Learning theory advances underpin improvements in recommendation and decision systems used by platforms.
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Algorithmic learning improvements rarely alter consumer prices directly.
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