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19942026
most citedStochastic Block Model for Hypergraphs: Statistical limits and a semidefinite programming approach

31 citations · 69 across the 12 of their papers we have counts for

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cs.DS2026

A Better-Than- Approximation Algorithm for Demand Matching via Knapsack Intersection LP and Contention Resolution

Michel X. Goemans, Yuchong Pan

The demand matching problem generalizes both the knapsack problem and the -matching problem. In this problem, each edge of a graph has a demand and a weight, and each vertex has…

cs.DS2026

Bicriteria Approximation Algorithms for Demand Matching

Yuchong Pan, Michel X. Goemans

The demand matching problem generalizes both the knapsack problem and the -matching problem. In this problem, each edge of a graph has a demand and a weight, each vertex has a c…

cs.DS2022

Shrunk subspaces via operator Sinkhorn iteration

Cole Franks, Tasuku Soma, Michel X. Goemans

A recent breakthrough in Edmonds' problem showed that the noncommutative rank can be computed in deterministic polynomial time, and various algorithms for it were devised. However,…

cs.DS2017★ 5 cited

Community Detection in Hypergraphs, Spiked Tensor Models, and Sum-of-Squares

Chiheon Kim, Afonso S. Bandeira, Michel X. Goemans

We study the problem of community detection in hypergraphs under a stochastic block model. Similarly to how the stochastic block model in graphs suggests studying spiked random mat…

cs.DS2013

Polynomiality for Bin Packing with a Constant Number of Item Types

Michel X. Goemans, Thomas Rothvoss

We consider the bin packing problem with d different item sizes s_i and item multiplicities a_i, where all numbers are given in binary encoding. This problem formulation is also kn…

cs.DS2010

Symmetric Submodular Function Minimization Under Hereditary Family Constraints

Michel X. Goemans, José A. Soto

We present an efficient algorithm to find non-empty minimizers of a symmetric submodular function over any family of sets closed under inclusion. This for example includes families…