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20142026
most citedNear-Optimum Online Ad Allocation for Targeted Advertising

10 citations · 23 across the 21 of their papers we have counts for

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32 papers · 1 filter

cs.DS2026

Online Submodular Welfare Maximization: Computation is not the Bottleneck

Rajan Udwani, David Wajc

We revisit the online submodular welfare maximization problem (OSW), a vast generalization of numerous well-studied online allocation problems, including online bipartite matching,…

cs.DS2026

Asymptotically Tight Fractional Online Matching Under Edge Arrivals

David Wajc

In this brief note, we close the asymptotic gap between known upper and lower bounds for fractional online matching under edge arrivals. We prove that the optimal competitive ratio…

cs.DS2025

Chasing Submodular Objectives, and Submodular Maximization via Cutting Planes

Niv Buchbinder, Joseph, Naor +1

We introduce the \emph{submodular objectives chasing problem}, which generalizes many natural and previously-studied problems: a sequence of constrained submodular maximization pro…

cs.DS2025

Dimension-Free Correlated Sampling for the Hypersimplex

Joseph, Naor, Nitya Raju +4

Sampling from multiple distributions so as to maximize overlap has been studied by statisticians since the 1950s. Since the 2000s, such correlated sampling from the probability sim…

cs.DS2025

Online Edge Coloring: Sharp Thresholds

Joakim Blikstad, Ola Svensson, Radu Vintan +1

Vizing's theorem guarantees that every graph with maximum degree admits an edge coloring using colors. In online settings - where edges arrive one at a time and must be…

cs.DS2024

Deterministic Online Bipartite Edge Coloring

Joakim Blikstad, Ola Svensson, Radu Vintan +1

We study online bipartite edge coloring, with nodes on one side of the graph revealed sequentially. The trivial greedy algorithm is -competitive, which is optimal for gra…

cs.DS2024

New Philosopher Inequalities for Online Bayesian Matching, via Pivotal Sampling

Mark Braverman, Mahsa Derakhshan, Tristan Pollner +2

We study the polynomial-time approximability of the optimal online stochastic bipartite matching algorithm, initiated by Papadimitriou et al. (EC'21). Here, nodes on one side of th…

cs.DS2024★ 1 cited

Online Matching: A Brief Survey

Zhiyi Huang, Zhihao Gavin Tang, David Wajc

Matching, capturing allocation of items to unit-demand buyers, or tasks to workers, or pairs of collaborators, is a central problem in economics. Indeed, the growing prevalence of…

cs.DS2024

The Average-Value Allocation Problem

Kshipra Bhawalkar, Zhe Feng, Anupam Gupta +3

We initiate the study of centralized algorithms for welfare-maximizing allocation of goods to buyers subject to average-value constraints. We show that this problem is NP-hard to a…

cs.DS2024★ 1 cited

Online Edge Coloring is (Nearly) as Easy as Offline

Joakim Blikstad, Ola Svensson, Radu Vintan +1

The classic theorem of Vizing (Diskret. Analiz.'64) asserts that any graph of maximum degree can be edge colored (offline) using no more than colors (with being a tri…

cs.DS2023

Simple and Asymptotically Optimal Online Bipartite Edge Coloring

Joakim Blikstad, Ola Svensson, Radu Vintan +1

We provide a simple online -edge-coloring algorithm for bipartite graphs of maximum degree under adversarial vertex arrivals on one side of the graph. Our…

cs.DS2023

Near-Optimal Dynamic Rounding of Fractional Matchings in Bipartite Graphs

Sayan Bhattacharya, Peter Kiss, Aaron Sidford +1

We study dynamic -approximate rounding of fractional matchings -- a key ingredient in numerous breakthroughs in the dynamic graph algorithms literature. Our first contributi…

cs.DS2023★ 1 cited

Online Dependent Rounding Schemes for Bipartite Matchings, with Applications

Joseph, Naor, Aravind Srinivasan +1

We introduce the abstract problem of rounding an unknown fractional bipartite -matching revealed online (e.g., output by an online fractional algorithm), exposed node-b…

cs.DS2022

Dynamic Matching with Better-than-2 Approximation in Polylogarithmic Update Time

Sayan Bhattacharya, Peter Kiss, Thatchaphol Saranurak +1

We present dynamic algorithms with polylogarithmic update time for estimating the size of the maximum matching of a graph undergoing edge insertions and deletions with approximatio…

cs.DS2022★ 1 cited

Improved Online Contention Resolution for Matchings and Applications to the Gig Economy

Tristan Pollner, Mohammad Roghani, Amin Saberi +1

Motivated by applications in the gig economy, we study approximation algorithms for a \emph{sequential pricing problem}. The input is a bipartite graph between individu…

cs.DS2021

The Stationary Prophet Inequality Problem

Kristen Kessel, Amin Saberi, Ali Shameli +1

We study a continuous and infinite time horizon counterpart to the classic prophet inequality, which we term the stationary prophet inequality problem. Here, copies of a good arriv…

cs.DS2021

Beating the Folklore Algorithm for Dynamic Matching

Mohammad Roghani, Amin Saberi, David Wajc

The maximum matching problem in dynamic graphs subject to edge updates (insertions and deletions) has received much attention over the last few years; a multitude of approximation/…

cs.DS2021★ 1 cited

Lossless Online Rounding for Online Bipartite Matching (Despite its Impossibility)

Niv Buchbinder, Joseph, Naor +1

For numerous online bipartite matching problems, such as edge-weighted matching and matching under two-sided vertex arrivals, the state-of-the-art fractional algorithms outperform…

cs.DS2021★ 1 cited

The Greedy Algorithm is \emph{not} Optimal for On-Line Edge Coloring

Amin Saberi, David Wajc

Nearly three decades ago, Bar-Noy, Motwani and Naor showed that no online edge-coloring algorithm can edge color a graph optimally. Indeed, their work, titled "the greedy algorithm…

cs.DS2021

Universally-Optimal Distributed Algorithms for Known Topologies

Bernhard Haeupler, David Wajc, Goran Zuzic

Many distributed optimization algorithms achieve existentially-optimal running times, meaning that there exists some pathological worst-case topology on which no algorithm can do b…

cs.DS2021

Online Stochastic Max-Weight Bipartite Matching: Beyond Prophet Inequalities

Christos Papadimitriou, Tristan Pollner, Amin Saberi +1

The rich literature on online Bayesian selection problems has long focused on so-called prophet inequalities, which compare the gain of an online algorithm to that of a "prophet" w…

cs.DS2020

Online Edge Coloring Algorithms via the Nibble Method

Sayan Bhattacharya, Fabrizio Grandoni, David Wajc

Nearly thirty years ago, Bar-Noy, Motwani and Naor [IPL'92] conjectured that an online -edge-coloring algorithm exists for -node graphs of maximum degree $Δ=ω(\log n)…

cs.DS2020

Streaming Submodular Matching Meets the Primal-Dual Method

Roie Levin, David Wajc

We study streaming submodular maximization subject to matching/-matching constraints (MSM/MSbM), and present improved upper and lower bounds for these problems. On the upper bou…

cs.DS2020★ 3 cited

Near-Optimal Schedules for Simultaneous Multicasts

Bernhard Haeupler, D Ellis Hershkowitz, David Wajc

We study the store-and-forward packet routing problem for simultaneous multicasts, in which multiple packets have to be forwarded along given trees as fast as possible. This is a n…