arxiv
PublishedJuly 14, 2026 at 4:00 AM
—neutral
Efficient Online Proportional Sampling with Applications to Smoothed Online Learning
Publisher summary· verbatim
arXiv:2607.10963v1 Announce Type: cross Abstract: We study the problem of efficient online proportional sampling from a high-dimensional domain under a $\sigma$-smoothed adversary, where the sampling distribution is induced by a dynamically evolving weight function defined over a sequence of piecewi
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Originally published on arxiv ↗