activity
20162026
most citedLinear Principal Minor Polynomials: Hyperbolic Determinantal Inequalities and Spectral Containment

6 citations · 15 across the 16 of their papers we have counts for

collaborators

16 papers

math.OC2026

Bounds on the Semidefinite Programming Complexity of the Euclidean Ball

Guanxi Li, Kevin Shu

We present tight lower bounds for the size of any linear matrix inequality representation of the Euclidean ball, and on the semidefinite extension complexity of the ball. Specifica…

math.OC2025

Lagrangian Dual Sections: A Topological Perspective on Hidden Convexity

Venkat Chandrasekaran, Timothy Duff, Jose Israel Rodriguez +1

Hidden convexity is a powerful idea in optimization: under the right transformations, nonconvex problems that are seemingly intractable can be solved efficiently using convex optim…

cs.DS2025

Debiasing Polynomial and Fourier Regression

Chris Camaño, Raphael A. Meyer, Kevin Shu

We study the problem of approximating an unknown function by a degree- polynomial using as few function evaluations as possible, where error is measu…

math.AG2023

Symmetric Hyperbolic Polynomials

Grigoriy Blekherman, Julia Lindberg, Kevin Shu

Hyperbolic polynomials have been of recent interest due to applications in a wide variety of fields. We seek to better understand these polynomials in the case when they are symmet…

math.OC2023

Hidden convexity, optimization, and algorithms on rotation matrices

Akshay Ramachandran, Kevin Shu, Alex L. Wang

This paper studies hidden convexity properties associated with constrained optimization problems over the set of rotation matrices . Such problems are nonconvex due t…

math.OC2022

Quadratic Programming with Sparsity Constraints via Polynomial Roots

Kevin Shu

Quadratically constrained quadratic programs (QCQPs) are an expressive family of optimization problems that occur naturally in many applications. It is often of interest to seek ou…

math.AG2021★ 6 cited

Linear Principal Minor Polynomials: Hyperbolic Determinantal Inequalities and Spectral Containment

Grigoriy Blekherman, Mario Kummer, Raman Sanyal +2

A linear principal minor polynomial or lpm polynomial is a linear combination of principal minors of a symmetric matrix. By restricting to the diagonal, lpm polynomials are in bije…

cs.DM2021

On the computational equivalence of co-NP refutations of a matrix being a P-matrix

Spencer Gordon, Kevin Shu

A P-matrix is a square matrix such that all principal submatrices of have positive determinant. Such matrices appear naturally in instances of the linear complementarity pr…

math.OC2021

Approximate PSD-Completion for Generalized Chordal Graphs

Kevin Shu

Recently, there has been interest in the question of whether a partial matrix in which many of the fully defined principal submatrices are PSD is approximately PSD completable. The…

math.AG2021★ 1 cited

Extreme Nonnegative Quadratics over Stanley Reisner Varieties

Kevin Shu

We consider the convex geometry of the cone of nonnegative quadratics over Stanley-Reisner varieties. Stanley-Reisner varieties (which are unions of coordinate planes) are amongst…

cs.IT2021

Causal Channels

Kevin Shu

We consider causal models with two observed variables and one latent variables, each variable being discrete, with the goal of characterizing the possible distributions on outcomes…

math.OC2020★ 1 cited

Hyperbolic Relaxation of -Locally Positive Semidefinite Matrices

Grigoriy Blekherman, Santanu S. Dey, Kevin Shu +1

A successful computational approach for solving large-scale positive semidefinite (PSD) programs is to enforce PSD-ness on only a collection of submatrices. For our study, we let $…

math.AG2020★ 1 cited

Sums of Squares and Sparse Semidefinite Programming

Grigoriy Blekherman, Kevin Shu

We consider two seemingly unrelated questions: the relationship between nonnegative polynomials and sums of squares on real varieties, and sparse semidefinite programming. This con…

cs.CL2017★ 5 cited

Phylogenetics of Indo-European Language families via an Algebro-Geometric Analysis of their Syntactic Structures

Kevin Shu, Andrew Ortegaray, Robert Berwick +1

Using Phylogenetic Algebraic Geometry, we analyze computationally the phylogenetic tree of subfamilies of the Indo-European language family, using data of syntactic structures. The…

cs.CL2016

Syntactic Structures and Code Parameters

Kevin Shu, Matilde Marcolli

We assign binary and ternary error-correcting codes to the data of syntactic structures of world languages and we study the distribution of code points in the space of code paramet…

cs.CL2016★ 1 cited

Syntactic Phylogenetic Trees

Kevin Shu, Sharjeel Aziz, Vy-Luan Huynh +2

In this paper we identify several serious problems that arise in the use of syntactic data from the SSWL database for the purpose of computational phylogenetic reconstruction. We s…