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20182026
most citedSubexponential-Time Algorithms for Sparse PCA

19 citations · 70 across the 39 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cs.DS2020★ 1 cited

Average-Case Integrality Gap for Non-Negative Principal Component Analysis

Afonso S. Bandeira, Dmitriy Kunisky, Alexander S. Wein

Montanari and Richard (2015) asked whether a natural semidefinite programming (SDP) relaxation can effectively optimize over $\|\mathbf{x}\…

math.ST2020★ 2 cited

Hypothesis testing with low-degree polynomials in the Morris class of exponential families

Dmitriy Kunisky

Analysis of low-degree polynomial algorithms is a powerful, newly-popular method for predicting computational thresholds in hypothesis testing problems. One limitation of current t…

cs.DS2020★ 3 cited

Positivity-preserving extensions of sum-of-squares pseudomoments over the hypercube

Dmitriy Kunisky

We introduce a new method for building higher-degree sum-of-squares lower bounds over the hypercube from a given degree 2 lower bound. Our method const…

cs.CC2020★ 13 cited

Spectral Planting and the Hardness of Refuting Cuts, Colorability, and Communities in Random Graphs

Afonso S. Bandeira, Jess Banks, Dmitriy Kunisky +2

We study the problem of efficiently refuting the k-colorability of a graph, or equivalently certifying a lower bound on its chromatic number. We give formal evidence of average-cas…

math.OC2020

Linear Programming and Community Detection

Alberto Del Pia, Aida Khajavirad, Dmitriy Kunisky

The problem of community detection with two equal-sized communities is closely related to the minimum graph bisection problem over certain random graph models. In the stochastic bl…

math.ST2020★ 5 cited

The Average-Case Time Complexity of Certifying the Restricted Isometry Property

Yunzi Ding, Dmitriy Kunisky, Alexander S. Wein +1

In compressed sensing, the restricted isometry property (RIP) on sensing matrices (where ) guarantees efficient reconstruction of sparse vectors. A matrix has t…