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20102026
most citedPolyhedral approximation in mixed-integer convex optimization

53 citations · 292 across the 29 of their papers we have counts for

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Showing 2016Show all

7 papers · 1 filter

math.OC2016★ 20 cited

Mixed-integer convex representability

Miles Lubin, Ilias Zadik, Juan Pablo Vielma

We consider the question of which nonconvex sets can be represented exactly as the feasible sets of mixed-integer convex optimization problems. We state the first complete characte…

math.OC2016

A combinatorial approach for small and strong formulations of disjunctive constraints

Joey Huchette, Juan Pablo Vielma

We present a framework for constructing strong mixed-integer programming formulations for logical disjunctive constraints. Our approach is a generalization of the logarithmically-s…

math.OC2016★ 53 cited

Polyhedral approximation in mixed-integer convex optimization

Miles Lubin, Emre Yamangil, Russell Bent +1

Generalizing both mixed-integer linear optimization and convex optimization, mixed-integer convex optimization possesses broad modeling power but has seen relatively few advances i…

stat.AP2016★ 6 cited

Predicting Performance Under Stressful Conditions Using Galvanic Skin Response

Carter Mundell, Juan Pablo Vielma, Tauhid Zaman

The rapid growth of the availability of wearable biosensors has created the opportunity for using biological signals to measure worker performance. An important question is how to…

stat.OT2016★ 3 cited

Picking Winners in Daily Fantasy Sports Using Integer Programming

David Scott Hunter, Juan Pablo Vielma, Tauhid Zaman

We consider the problem of selecting a portfolio of entries of fixed cardinality for contests with top-heavy payoff structures, i.e. most of the winnings go to the top-ranked entri…

math.OC2016

Beating the SDP bound for the floor layout problem: A simple combinatorial idea

Joey Huchette, Santanu S. Dey, Juan Pablo Vielma

For many mixed-integer programming (MIP) problems, high-quality dual bounds can be obtained either through advanced formulation techniques coupled with a state-of-the-art MIP solve…