Sign inGet started
Paper · arXiv

Toward Optimal Regret in Robust Pricing: Decoupling Corruption and Time

We design the first regret guarantees for robust dynamic pricing that decouple the dependence on the corruption $C$ and the time horizon $T$. In dynamic pricing, a seller with unlimited supply of a good interacts with a stream of buyers over \( T \) rounds, with the goal of maximizing revenue. At each round $t$, the seller posts a price $p_t$, and the buyer purchases the good only if their unknown valuation $v^\star$ exceeds this price. The seller observes only the binary feedback $\mathbb{I} \left\{ p_t \leq v^\star \right\}$, indicating whether a sale occurred. In the \emph{robust} pricing setting, a malicious adversary is allowed to corrupt this feedback in at most $C$ rounds. Even if ...

AuthorsKalana Kalupahana, Francesco Emanuele Stradi, Matteo Castiglioni et al.
Primary categorycs.LG
Published8 May 2026
Last updated at source8 May 2026
cs.LGcs.AI
Embed this entry
<iframe src="https://silytics.si/embed/item/f025a092-add6-433d-a398-3b929bf97610" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.