Andrés Gómez

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 41

Top Topics

Classification Trees

Optimization Problems

Top Venues

Oper. Res. Lett.

J. Glob. Optim.

Publications

Linchuan Wei, Alper Atamtürk, Andrés Gómez, Simge Küçükyavuz
On the convex hull of convex quadratic optimization problems with indicators. Math. Program. 204 (1) (2024)
Andrés Gómez, Weijun Xie
A note on quadratic constraints with indicator variables: Convex hull description and perspective relaxation. Oper. Res. Lett. 52 (2024)
Valentina Cepeda, Andrés Gómez, Shaoning Han
Robust support vector machines via conic optimization. CoRR (2024)
Ziyu He, Shaoning Han, Andrés Gómez, Ying Cui, Jong-Shi Pang
Comparing solution paths of sparse quadratic minimization with a Stieltjes matrix. Math. Program. 204 (1) (2024)
Ryan Cory-Wright, Andrés Gómez
Gain Confidence, Reduce Disappointment: A New Approach to Cross-Validation for Sparse Regression. CoRR (2023)
Salar Fattahi, Andrés Gómez
Solution Path of Time-varying Markov Random Fields with Discrete Regularization. CoRR (2023)
Patrick Vossler, Sina Aghaei, Nathan Justin, Nathanael Jo, Andrés Gómez, Phebe Vayanos
ODTlearn: A Package for Learning Optimal Decision Trees for Prediction and Prescription. CoRR (2023)
Nathanael Jo, Sina Aghaei, Jack Benson, Andrés Gómez, Phebe Vayanos
Learning Optimal Fair Decision Trees: Trade-offs Between Interpretability, Fairness, and Accuracy. AIES (2023)
Alper Atamtürk, Andrés Gómez
Supermodularity and valid inequalities for quadratic optimization with indicators. Math. Program. 201 (1) (2023)
Shaoning Han, Andrés Gómez, Alper Atamtürk
$\mathbf {2\times 2}$-Convexifications for convex quadratic optimization with indicator variables. Math. Program. 202 (1) (2023)
Nathan Justin, Sina Aghaei, Andrés Gómez, Phebe Vayanos
Learning Optimal Classification Trees Robust to Distribution Shifts. CoRR (2023)
Andrés Gómez, Ziyu He, Jong-Shi Pang
Linear-step solvability of some folded concave and singly-parametric sparse optimization problems. Math. Program. 198 (2) (2023)
Peijing Liu, Salar Fattahi, Andrés Gómez, Simge Küçükyavuz
A graph-based decomposition method for convex quadratic optimization with indicators. Math. Program. 200 (2) (2023)
Shaoning Han, Andrés Gómez, Oleg A. Prokopyev
Fractional 0-1 programming and submodularity. J. Glob. Optim. 84 (1) (2022)
Nathanael Jo, Sina Aghaei, Jack Benson, Andrés Gómez, Phebe Vayanos
Learning Optimal Fair Classification Trees. CoRR (2022)
Shaoning Han, Andrés Gómez, Alper Atamtürk
The equivalence of optimal perspective formulation and Shor's SDP for quadratic programs with indicator variables. Oper. Res. Lett. 50 (2) (2022)
Linchuan Wei, Alper Atamtürk, Andrés Gómez, Simge Küçükyavuz
On the convex hull of convex quadratic optimization problems with indicators. CoRR (2022)
Linchuan Wei, Andrés Gómez, Simge Küçükyavuz
Ideal formulations for constrained convex optimization problems with indicator variables. Math. Program. 192 (1) (2022)
Erfan Mehmanchi, Andrés Gómez, Oleg A. Prokopyev
Solving a class of feature selection problems via fractional 0-1 programming. Ann. Oper. Res. 303 (1) (2021)
Salar Fattahi, Andrés Gómez
Scalable Inference of Sparsely-changing Markov Random Fields with Strong Statistical Guarantees. CoRR (2021)
Andrés Gómez
Outlier Detection in Time Series via Mixed-Integer Conic Quadratic Optimization. SIAM J. Optim. 31 (3) (2021)
Andrés Gómez, Oleg A. Prokopyev
A Mixed-Integer Fractional Optimization Approach to Best Subset Selection. INFORMS J. Comput. 33 (2) (2021)
Nathanael Jo, Sina Aghaei, Andrés Gómez, Phebe Vayanos
Learning Optimal Prescriptive Trees from Observational Data. CoRR (2021)
Sina Aghaei, Andrés Gómez, Phebe Vayanos
Strong Optimal Classification Trees. CoRR (2021)
Andrés Gómez
Strong formulations for conic quadratic optimization with indicator variables. Math. Program. 188 (1) (2021)
Salar Fattahi, Andrés Gómez
Scalable Inference of Sparsely-changing Gaussian Markov Random Fields. NeurIPS (2021)
Alper Atamtürk, Andrés Gómez, Shaoning Han
Sparse and Smooth Signal Estimation: Convexification of L0-Formulations. J. Mach. Learn. Res. 22 (2021)
Alper Atamtürk, Andrés Gómez
Submodularity in Conic Quadratic Mixed 0-1 Optimization. Oper. Res. 68 (2) (2020)
Erfan Mehmanchi, Colin P. Gillen, Andrés Gómez, Oleg A. Prokopyev
On Robust Fractional 0-1 Programming. INFORMS J. Optim. 2 (2) (2020)
Linchuan Wei, Andrés Gómez, Simge Küçükyavuz
Ideal formulations for constrained convex optimization problems with indicator variables. CoRR (2020)
Linchuan Wei, Andrés Gómez, Simge Küçükyavuz
On the Convexification of Constrained Quadratic Optimization Problems with Indicator Variables. IPCO (2020)
Sina Aghaei, Andrés Gómez, Phebe Vayanos
Learning Optimal Classification Trees: Strong Max-Flow Formulations. CoRR (2020)
Alper Atamtürk, Andrés Gómez
-Regression. CoRR (2020)
Erfan Mehmanchi, Andrés Gómez, Oleg A. Prokopyev
Fractional 0-1 programs: links between mixed-integer linear and conic quadratic formulations. J. Glob. Optim. 75 (2) (2019)
Alper Atamtürk, Andrés Gómez
Rank-one Convexification for Sparse Regression. CoRR (2019)
Alper Atamtürk, Andrés Gómez
Simplex QP-based methods for minimizing a conic quadratic objective over polyhedra. Math. Program. Comput. 11 (2) (2019)
Alper Atamtürk, Andrés Gómez, Shaoning Han
Sparse and Smooth Signal Estimation: Convexification of L0 Formulations. CoRR (2018)
Alper Atamtürk, Andrés Gómez
Strong formulations for quadratic optimization with M-matrices and indicator variables. Math. Program. 170 (1) (2018)
Alper Atamtürk, Andrés Gómez
Maximizing a Class of Utility Functions Over the Vertices of a Polytope. Oper. Res. 65 (2) (2017)
Andrés Gómez, Ricardo Mariño, Raha Akhavan-Tabatabaei, Andrés L. Medaglia, Jorge E. Mendoza
On Modeling Stochastic Travel and Service Times in Vehicle Routing. Transp. Sci. 50 (2) (2016)
Alper Atamtürk, Andrés Gómez, Simge Küçükyavuz
Three-partition flow cover inequalities for constant capacity fixed-charge network flow problems. Networks 67 (4) (2016)