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20152026
most citedNear-linear time approximation algorithms for optimal transport via Sinkhorn iteration

290 citations · 492 across the 36 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

math.OC2020★ 15 cited

Hardness results for Multimarginal Optimal Transport problems

Jason M. Altschuler, Enric Boix-Adsera

Multimarginal Optimal Transport (MOT) is the problem of linear programming over joint probability distributions with fixed marginals. A key issue in many applications is the comple…

math.OC2020★ 3 cited

Polynomial-time algorithms for Multimarginal Optimal Transport problems with structure

Jason M. Altschuler, Enric Boix-Adsera

Multimarginal Optimal Transport (MOT) has attracted significant interest due to applications in machine learning, statistics, and the sciences. However, in most applications, the s…

math.OC2020★ 6 cited

Wasserstein barycenters can be computed in polynomial time in fixed dimension

Jason M. Altschuler, Enric Boix-Adsera

Computing Wasserstein barycenters is a fundamental geometric problem with widespread applications in machine learning, statistics, and computer graphics. However, it is unknown whe…

cs.DS2020★ 6 cited

Approximating Min-Mean-Cycle for low-diameter graphs in near-optimal time and memory

Jason M. Altschuler, Pablo A. Parrilo

We revisit Min-Mean-Cycle, the classical problem of finding a cycle in a weighted directed graph with minimum mean weight. Despite an extensive algorithmic literature, previous wor…

math.OC2020

Near-linear convergence of the Random Osborne algorithm for Matrix Balancing

Jason M. Altschuler, Pablo A. Parrilo

We revisit Matrix Balancing, a pre-conditioning task used ubiquitously for computing eigenvalues and matrix exponentials. Since 1960, Osborne's algorithm has been the practitioners…