activity
20152022
most citedAlgorithms for Lipschitz Learning on Graphs

24 citations · 37 across the 5 of their papers we have counts for

collaborators

12 papers

cs.DS2022

A Simple Framework for Finding Balanced Sparse Cuts via APSP

Li Chen, Rasmus Kyng, Maximilian Probst Gutenberg +1

We present a very simple and intuitive algorithm to find balanced sparse cuts in a graph via shortest-paths. Our algorithm combines a new multiplicative-weights framework for solvi…

cs.DS202212 cited

Maximum Flow and Minimum-Cost Flow in Almost-Linear Time

Li Chen, Rasmus Kyng, Yang P. Liu +3

We give an algorithm that computes exact maximum flows and minimum-cost flows on directed graphs with edges and polynomially bounded integral demands, costs, and capacities in…

cs.CC2022

Hardness Results for Laplacians of Simplicial Complexes via Sparse-Linear Equation Complete Gadgets

Ming Ding, Rasmus Kyng, Maximilian Probst Gutenberg +1

We study linear equations in combinatorial Laplacians of -dimensional simplicial complexes (-complexes), a natural generalization of graph Laplacians. Combinatorial Laplacian…

cs.CC2022

Two-Commodity Flow is Equivalent to Linear Programming under Nearly-Linear Time Reductions

Ming Ding, Rasmus Kyng, Peng Zhang

We give a nearly-linear time reduction that encodes any linear program as a 2-commodity flow problem with only a small blow-up in size. Under mild assumptions similar to those empl…

cs.DS20211 cited

Incremental SSSP for Sparse Digraphs Beyond the Hopset Barrier

Rasmus Kyng, Simon Meierhans, Maximilian Probst Gutenberg

Given a directed, weighted graph undergoing edge insertions, the incremental single-source shortest paths (SSSP) problem asks for the maintenance of approximate distances…

math.OC2021

On the Oracle Complexity of Higher-Order Smooth Non-Convex Finite-Sum Optimization

Nicolas Emmenegger, Rasmus Kyng, Ahad N. Zehmakan

We prove lower bounds for higher-order methods in smooth non-convex finite-sum optimization. Our contribution is threefold: We first show that a deterministic algorithm cannot prof…