The online bipartite matching problem has offline buyers desiring to be matched to online items. The analysis of online bipartite matching of Eden et al. (2021) is a smoothness proof (Syrgkanis and Tardos, 2013). Moreover, it can be interpreted as combining a $\lambda = 1-1/e$ value covering (which holds for single-dimensional agents and randomized auctions) and $\mu = 1$ revenue covering (Hartline et al., 2014). Note that value covering is a fact about single-dimensional agents and has nothing to do with the underlying feasibility setting. Thus, the essential new result from Eden et al. (2021) is that online bipartite matching is $\mu=1$ revenue covered. A number of old and new observations follow from this perspective
We consider the online bipartite matching problem within the context of stochastic probing with comm...
This paper explores eBay auction properties that match buyers and sellers and generates millions of ...
Online bipartite matching and allocation models are widely used to analyze and design markets such a...
The online bipartite matching problem has offline buyers desiring to be matched to online items. The...
We study truthful mechanisms for welfare maximization in online bipartite matching. In our (multi-pa...
In an online problem, the input is revealed one piece at a time. In every time step, the online algo...
In this article, we study the problem of online market clearing where there is one commodity in the ...
We study a weighted online bipartite matching problem: G(V1, V2, E) is a weighted bipartite graph wh...
The purpose of this paper is to give a "textbook quality" proof of the optimal algorithm, called Ran...
We consider variants of the online stochastic bipartite matching problem motivated by Internet adver...
Online matching has received significant attention over the last 15 years due to its close connectio...
The problem of online matching with stochastic rewards is a generalization of the online bipartite m...
For numerous online bipartite matching problems, such as edge-weighted matching and matching under t...
We study the two-stage vertex-weighted online bipartite matching problem of Feng, Niazadeh, and Sabe...
In an online problem, information is revealed incrementally and decisions have to be made before the...
We consider the online bipartite matching problem within the context of stochastic probing with comm...
This paper explores eBay auction properties that match buyers and sellers and generates millions of ...
Online bipartite matching and allocation models are widely used to analyze and design markets such a...
The online bipartite matching problem has offline buyers desiring to be matched to online items. The...
We study truthful mechanisms for welfare maximization in online bipartite matching. In our (multi-pa...
In an online problem, the input is revealed one piece at a time. In every time step, the online algo...
In this article, we study the problem of online market clearing where there is one commodity in the ...
We study a weighted online bipartite matching problem: G(V1, V2, E) is a weighted bipartite graph wh...
The purpose of this paper is to give a "textbook quality" proof of the optimal algorithm, called Ran...
We consider variants of the online stochastic bipartite matching problem motivated by Internet adver...
Online matching has received significant attention over the last 15 years due to its close connectio...
The problem of online matching with stochastic rewards is a generalization of the online bipartite m...
For numerous online bipartite matching problems, such as edge-weighted matching and matching under t...
We study the two-stage vertex-weighted online bipartite matching problem of Feng, Niazadeh, and Sabe...
In an online problem, information is revealed incrementally and decisions have to be made before the...
We consider the online bipartite matching problem within the context of stochastic probing with comm...
This paper explores eBay auction properties that match buyers and sellers and generates millions of ...
Online bipartite matching and allocation models are widely used to analyze and design markets such a...