17 citations · 95 across the 34 of their papers we have counts for
8 papers · 1 filter
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…
On the Perturbation Function of Ranking and Balance for Weighted Online Bipartite Matching
Jingxun Liang, Zhihao Gavin Tang, Yixuan Even Xu +2
Ranking and Balance are arguably the two most important algorithms in the online matching literature. They achieve the same optimal competitive ratio of for the integral ve…
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…
(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…
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…
Online Ordinal Problems: Optimality of Comparison-based Algorithms and their Cardinal Complexity
Nick Gravin, Enze Sun, Zhihao Gavin Tang
We consider ordinal online problems, i.e., tasks that only require pairwise comparisons between elements of the input. A classic example is the secretary problem and the game of go…
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…
"Who Is Next in Line?'' On the Significance of Knowing the Arrival Order in Bayesian Online Settings
Tomer Ezra, Michal Feldman, Nick Gravin +1
We introduce a new measure for the performance of online algorithms in Bayesian settings, where the input is drawn from a known prior, but the realizations are revealed one-by-one…