5 citations · 5 across the 4 of their papers we have counts for
4 papers
Learning Risk Scores Robust to Unobserved Confounders
Ryan Edmonds, Yingxiao Ye, Sina Aghaei +3
We consider the problem of learning risk scores to prioritize individuals for scarce resources or interventions, from historical observational data affected by unobserved confoundi…
Fair and Accurate Regression: Strong Formulations and Algorithms
Anna Deza, Andrés Gómez, Alper Atamtürk
This paper introduces mixed-integer optimization methods to solve regression problems that incorporate fairness metrics. We propose an exact formulation for training fair regressio…
Polyhedral Analysis of Quadratic Optimization Problems with Stieltjes Matrices and Indicators
Peijing Liu, Alper Atamtürk, Andrés Gómez +1
In this paper, we consider convex quadratic optimization problems with indicators on the continuous variables. In particular, we assume that the Hessian of the quadratic term is a…
2x2 convexifications for convex quadratic optimization with indicator variables
Shaoning Han, Andrés Gómez, Alper Atamtürk
In this paper, we study the convex quadratic optimization problem with indicator variables. For the bivariate case, we describe the convex hull of the epigraph in the original spac…