Motivated by practical concerns in the online advertising industry, we s...
Ranking and Balance are arguably the two most important algorithms in th...
A Lookahead Auction (LA), introduced by Ronen, is an auction format for ...
Motivated by display advertising on the internet, the online stochastic
...
In the classical prophet inequality, a gambler faces a sequence of items...
We consider ordinal online problems, i.e., those tasks that only depend ...
In a prophet inequality problem, n boxes arrive online, each containing
...
Online bipartite matching with one-sided arrival and its variants have b...
Contention resolution schemes (CRSs) are powerful tools for obtaining "e...
We provide nearly optimal algorithms for online facility location (OFL) ...
We provide online algorithms for secretary matching in general weighted
...
Karp, Vazirani, and Vazirani (STOC 1990) initiated the study of online
b...
We provide prophet inequality algorithms for online weighted matching in...
We study the oblivious matching problem, which aims at finding a maximum...
This paper explores a theory of generalization for learning problems on
...
Online bipartite matching with edge arrivals is an important extension o...
We study the maximum matching problem in the oblivious setting, i.e. the...
We consider two canonical Bayesian mechanism design settings. In the
sin...
Huang et al. (STOC 2018) introduced the fully online matching problem, a...
We consider the online makespan minimization problem on identical machin...
We introduce a weighted version of the ranking algorithm by Karp et al. ...
We consider the simplest and most fundamental problem of selling a singl...
We introduce a fully online model of maximum cardinality matching in whi...
In many shopping scenarios, e.g., in online shopping, customers have a l...
In spectral graph theory, the Cheeger's inequality gives upper and lower...