Online contention resolution schemes
We introduce a new rounding technique designed for online optimization problems, which is
related to contention resolution schemes, a technique initially introduced in the context of …
related to contention resolution schemes, a technique initially introduced in the context of …
Optimal online contention resolution schemes via ex-ante prophet inequalities
Online contention resolution schemes (OCRSs) were proposed by Feldman, Svensson, and
Zenklusen as a generic technique to round a fractional solution in the matroid polytope in an …
Zenklusen as a generic technique to round a fractional solution in the matroid polytope in an …
The price of information in combinatorial optimization
S Singla - Proceedings of the twenty-ninth annual ACM-SIAM …, 2018 - SIAM
Consider a network design application where we wish to lay down a minimum-cost
spanning tree in a given graph; however, we only have stochastic information about the …
spanning tree in a given graph; however, we only have stochastic information about the …
Improved online contention resolution for matchings and applications to the gig economy
Background. Our results tie into the literature on contention resolution schemes [3], which we
briefly define. Let P (𝐺) denote the fractional matching polytope of a graph 𝐺=(𝑉, 𝐸). In a …
briefly define. Let P (𝐺) denote the fractional matching polytope of a graph 𝐺=(𝑉, 𝐸). In a …
Guess free maximization of submodular and linear sums
M Feldman - Algorithmica, 2021 - Springer
We consider the problem of maximizing the sum of a monotone submodular function and a
linear function subject to a general solvable polytope constraint. Recently, Sviridenko et …
linear function subject to a general solvable polytope constraint. Recently, Sviridenko et …
Online contention resolution schemes with applications to bayesian selection problems
We introduce a new rounding technique designed for online optimization problems, which is
related to contention resolution schemes, a technique initially introduced in the context of …
related to contention resolution schemes, a technique initially introduced in the context of …
Ignorance is almost bliss: Near-optimal stochastic matching with few queries
The stochastic matching problem deals with finding a maximum matching in a graph whose
edges are unknown but can be accessed via queries. This is a special case of stochastic k …
edges are unknown but can be accessed via queries. This is a special case of stochastic k …
The stochastic matching problem with (very) few queries
Motivated by an application in kidney exchange, we study the following stochastic matching
problem: We are given a graph G (V, E)(not necessarily bipartite), where each edge in E is …
problem: We are given a graph G (V, E)(not necessarily bipartite), where each edge in E is …
Adaptivity gaps for stochastic probing: Submodular and XOS functions
Suppose we are given a submodular function f over a set of elements, and we want to
maximize its value subject to certain constraints. Good approximation algorithms are known …
maximize its value subject to certain constraints. Good approximation algorithms are known …
Algorithms and adaptivity gaps for stochastic probing
A stochastic probing problem consists of a set of elements whose values are independent
random variables. The algorithm knows the distributions of these variables, but not the …
random variables. The algorithm knows the distributions of these variables, but not the …