Search Results for author: Ron Lavi

Found 2 papers, 1 papers with code

A Game-Theoretic Analysis of the Empirical Revenue Maximization Algorithm with Endogenous Sampling

no code implementations NeurIPS 2020 Xiaotie Deng, Ron Lavi, Tao Lin, Qi Qi, Wenwei Wang, Xiang Yan

The Empirical Revenue Maximization (ERM) is one of the most important price learning algorithms in auction design: as the literature shows it can learn approximately optimal reserve prices for revenue-maximizing auctioneers in both repeated auctions and uniform-price auctions.

Redesigning Bitcoin's fee market

1 code implementation26 Sep 2017 Ron Lavi, Or Sattath, Aviv Zohar

The Bitcoin payment system involves two agent types: Users that transact with the currency and pay fees and miners in charge of authorizing transactions and securing the system in return for these fees.

Cryptography and Security Computer Science and Game Theory

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