activity
20022026
most citedHigh probability generalization bounds for uniformly stable algorithms with nearly optimal rate

40 citations · 242 across the 33 of their papers we have counts for

collaborators

40 papers

cs.DS2026

Submodular Maximization over Bipartite Perfect Matchings and Matroid Intersection Bases

Chandra Chekuri, Lars Rohwedder, Neta Singer +2

Motivated by applications in fairness and foundational questions, we consider the problem of maximizing a monotone submodular function over m…

cs.DS2026

Universal set families for maximization of nonnegative submodular and XOS functions

Chandra Chekuri, Richard Ueltzen, Jan Vondrak

We consider the question of designing a universal family of sets such that for any function in a certain class, we have $$\max_{S \in…

cs.GT2024

Fairness and Incentive Compatibility via Percentage Fees

Shahar Dobzinski, Sigal Oren, Jan Vondrak

We study incentive-compatible mechanisms that maximize the Nash Social Welfare. Since traditional incentive-compatible mechanisms cannot maximize the Nash Social Welfare even appro…

cs.DS2023

Faster Submodular Maximization for Several Classes of Matroids

Monika Henzinger, Paul Liu, Jan Vondrak +1

The maximization of submodular functions have found widespread application in areas such as machine learning, combinatorial optimization, and economics, where practitioners often w…

cs.DS2021

Cardinality constrained submodular maximization for random streams

Paul Liu, Aviad Rubinstein, Jan Vondrak +1

We consider the problem of maximizing submodular functions in single-pass streaming and secretaries-with-shortlists models, both with random arrival order. For cardinality constrai…

cs.GT2021★ 1 cited

Estimating the Nash Social Welfare for coverage and other submodular valuations

Wenzheng Li, Jan Vondrak

We study the Nash Social Welfare problem: Given agents with valuation functions , partition into so as to maximize $…