78 citations · 436 across the 33 of their papers we have counts for
7 papers · 1 filter
Is it easier to count communities than find them?
Cynthia Rush, Fiona Skerman, Alexander S. Wein +1
Random graph models with community structure have been studied extensively in the literature. For both the problems of detecting and recovering community structure, an interesting…
Equivalence of Approximate Message Passing and Low-Degree Polynomials in Rank-One Matrix Estimation
Andrea Montanari, Alexander S. Wein
We consider the problem of estimating an unknown parameter vector , given noisy observations ${\boldsymbol Y} = {\boldsymbol θ}{\boldsymbol θ}^{\to…
Average-Case Complexity of Tensor Decomposition for Low-Degree Polynomials
Alexander S. Wein
Suppose we are given an -dimensional order-3 symmetric tensor that is the sum of random rank-1 terms. The problem of recovering the rank-1…
Near-optimal fitting of ellipsoids to random points
Aaron Potechin, Paxton Turner, Prayaag Venkat +1
Given independent standard Gaussian points in dimension , for what values of does there exist with high probability an origin-symmetric ellipsoid tha…
Statistical and Computational Phase Transitions in Group Testing
Amin Coja-Oghlan, Oliver Gebhard, Max Hahn-Klimroth +2
We study the group testing problem where the goal is to identify a set of k infected individuals carrying a rare disease within a population of size n, based on the outcomes of poo…
The Franz-Parisi Criterion and Computational Trade-offs in High Dimensional Statistics
Afonso S. Bandeira, Ahmed El Alaoui, Samuel B. Hopkins +3
Many high-dimensional statistical inference problems are believed to possess inherent computational hardness. Various frameworks have been proposed to give rigorous evidence for su…
Lattice-Based Methods Surpass Sum-of-Squares in Clustering
Ilias Zadik, Min Jae Song, Alexander S. Wein +1
Clustering is a fundamental primitive in unsupervised learning which gives rise to a rich class of computationally-challenging inference tasks. In this work, we focus on the canoni…