most citedNon-monotone submodular maximization under matroid and knapsack constraints

117 citations · 167 across the 5 of their papers we have counts for

collaborators

5 papers

cs.GT20091 cited

Quasi-Proportional Mechanisms: Prior-free Revenue Maximization

Vahab Mirrokni, S. Muthukrishnan, Uri Nadav

Inspired by Internet ad auction applications, we study the problem of allocating a single item via an auction when bidders place very different values on the item. We formulate thi…

cs.DS200940 cited

Online Stochastic Matching: Beating 1-1/e

Jon Feldman, Aranyak Mehta, Vahab Mirrokni +1

We study the online stochastic bipartite matching problem, in a form motivated by display ad allocation on the Internet. In the online, but adversarial case, the celebrated result…

cs.GT2009

On the complexity of Nash dynamics and Sink Equilibria

Vahab Mirrokni, Alexander Skopalik

Studying Nash dynamics is an important approach for analyzing the outcome of games with repeated selfish behavior of self-interested agents. Sink equilibria has been introduced by…

cs.CC2009117 cited

Non-monotone submodular maximization under matroid and knapsack constraints

Jon Lee, Vahab Mirrokni, Viswanath Nagarjan +1

Submodular function maximization is a central problem in combinatorial optimization, generalizing many important problems including Max Cut in directed/undirected graphs and in hyp…

cs.GT20099 cited

Bid Optimization in Broad-Match Ad auctions

Eyal Even-dar, Yishay Mansour, Vahab Mirrokni +2

Ad auctions in sponsored search support ``broad match'' that allows an advertiser to target a large number of queries while bidding only on a limited number. While giving more expr…