activity
20162022
most cited(Fractional) Online Stochastic Matching via Fine-Grained Offline Statistics

9 citations · 38 across the 12 of their papers we have counts for

collaborators

23 papers

cs.GT2022

Bidder Subset Selection Problem in Auction Design

Xiaohui Bei, Nick Gravin, Pinyan Lu +1

Motivated by practical concerns in the online advertising industry, we study a bidder subset selection problem in single-item auctions. In this problem, a large pool of candidate b…

cs.GT20221 cited

Lookahead Auctions with Pooling

Almog Wald, Michal Feldman, Nick Gravin +1

A Lookahead Auction (LA), introduced by Ronen, is an auction format for the sale of a single item among multiple buyers, which is considered simpler and more fair than the optimal…

cs.DS20229 cited

(Fractional) Online Stochastic Matching via Fine-Grained Offline Statistics

Zhihao Gavin Tang, Hongxun Wu, Jinzhao Wu

Motivated by display advertising on the internet, the online stochastic matching problem is proposed by Feldman, Mehta, Mirrokni, and Muthukrishnan (FOCS 2009). Consider a stochast…

cs.DS2022

Order Selection Prophet Inequality: From Threshold Optimization to Arrival Time Design

Bo Peng, Zhihao Gavin Tang

In the classical prophet inequality, a gambler faces a sequence of items, whose values are drawn independently from known distributions. Upon the arrival of each item, its value is…

cs.DS20221 cited

Improved Bounds for Fractional Online Matching Problems

Zhihao Gavin Tang, Yuhao Zhang

Online bipartite matching with one-sided arrival and its variants have been extensively studied since the seminal work of Karp, Vazirani, and Vazirani (STOC 1990). Motivated by rea…

cs.DS20202 cited

Secretary Matching with General Arrivals

Tomer Ezra, Michal Feldman, Nick Gravin +1

We provide online algorithms for secretary matching in general weighted graphs, under the well-studied models of vertex and edge arrivals. In both models, edges are associated with…