activity
20182026
most citedSparse and Smooth Signal Estimation: Convexification of L0 Formulations

18 citations · 22 across the 9 of their papers we have counts for

collaborators

9 papers

math.OC2026

Convexification of mixed-integer quadratic optimization via decision diagrams

Soobin Choi, Salar Fattahi, Andres Gomez +2

We study mixed-integer quadratic optimization (MIQO) problems with indicator variables. We propose a unified framework, based on decision diagrams, that serves both to solve the as…

math.OC2024

Improving the Solution of Indefinite Quadratic Programs and Linear Programs with Complementarity Constraints by a Progressive MIP Method

Xinyao Zhang, Shaoning Han, Jong-Shi Pang

Indefinite quadratic programs (QPs) are known to be very difficult to be solved to global optimality, so are linear programs with linear complementarity constraints. Treating the f…

math.OC2024

Real-time solution of quadratic optimization problems with banded matrices and indicator variables

Andres Gomez, Shaoning Han, Leonardo Lozano

We consider mixed-integer quadratic optimization problems with banded matrices and indicator variables. These problems arise pervasively in statistical inference problems with time…

math.OC2022

Convex Submodular Minimization with Indicator Variables

Shaoning Han, Andrés Gómez

We study a general class of convex submodular optimization problems with indicator variables. Many applications such as the problem of inferring Markov random fields (MRFs) with a…

math.OC2021★ 4 cited

The equivalence of optimal perspective formulation and Shor's SDP for quadratic programs with indicator variables

Shaoning Han, Andrés Gómez, Alper Atamtürk

In this paper, we compare the strength of the optimal perspective reformulation and Shor's SDP relaxation. We prove these two formulations are equivalent for quadratic optimization…

math.OC2021

Some Strongly Polynomially Solvable Convex Quadratic Programs with Bounded Variables

Jong-Shi Pang, Shaoning Han

This paper begins with a class of convex quadratic programs (QPs) with bounded variables solvable by the parametric principal pivoting algorithm with strongly po…

math.OC2021

Compact extended formulations for low-rank functions with indicator variables

Shaoning Han, Andrés Gómez

We study the mixed-integer epigraph of a special class of convex functions with non-convex indicator constraints, which are often used to impose logical constraints on the support…

math.OC2020

Fractional 0-1 programming and submodularity

Shaoning Han, Andres Gomez, Oleg A Prokopyev

In this note we study multiple-ratio fractional 0--1 programs, a broad class of NP-hard combinatorial optimization problems. In particular, under some relatively mild assumptions w…

stat.ML2018★ 18 cited

Sparse and Smooth Signal Estimation: Convexification of L0 Formulations

Alper Atamturk, Andres Gomez, Shaoning Han

Signal estimation problems with smoothness and sparsity priors can be naturally modeled as quadratic optimization with -"norm" constraints. Since such problems are non-conv…