activity
20172023
most citedRank-one Convexification for Sparse Regression

21 citations · 67 across the 10 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

math.OC2020★ 2 cited

Supermodularity and valid inequalities for quadratic optimization with indicators

Alper Atamturk, Andres Gomez

We study the minimization of a rank-one quadratic with indicators and show that the underlying set function obtained by projecting out the continuous variables is supermodular. Alt…

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…

math.OC2020★ 6 cited

Ideal formulations for constrained convex optimization problems with indicator variables

Linchuan Wei, Andres Gomez, Simge Kucukyavuz

Motivated by modern regression applications, in this paper, we study the convexification of a class of convex optimization problems with indicator variables and combinatorial const…

stat.ML2020

Safe Screening Rules for -Regression

Alper Atamtürk, Andrés Gómez

We give safe screening rules to eliminate variables from regression with regularization or cardinality constraint. These rules are based on guarantees that a feature may o…

stat.ML2020★ 17 cited

Learning Optimal Classification Trees: Strong Max-Flow Formulations

Sina Aghaei, Andres Gomez, Phebe Vayanos

We consider the problem of learning optimal binary classification trees. Literature on the topic has burgeoned in recent years, motivated both by the empirical suboptimality of heu…