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ORCIDAndrés Gómez 0001
Person information
- affiliation: University of Southern California, Los Angeles, CA, USA
- affiliation: University of Pittsburgh, Swanson School of Engineering, Department of Industrial Engineering, PA, USA
- affiliation (former): University of California, Berkeley, CA, USA
Other persons with the same name
- Andrés Gómez (aka: Andres Gomez) — disambiguation page
- Andrés Gómez 0002
![[0000-0001-7272-8488]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-7272-8488")
(aka: Andrés Gómez-Tato) — Galicia Supercomputing Centre (CESGA), Santiago de Compostela, Spain - Andrés Gómez-Rodellar (aka: Andrés Gómez 0003) — Technical University of Madrid, Montegancedo Campus, Center for Biomedical Technology, Spain
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2020 – today
- 2024
[j23]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): 517-566 (2024)- [j22]Linchuan Wei, Alper Atamtürk, Andrés Gómez, Simge Küçükyavuz:
On the convex hull of convex quadratic optimization problems with indicators. Math. Program. 204(1): 703-737 (2024) - [j21]Andrés Gómez, Weijun Xie:
A note on quadratic constraints with indicator variables: Convex hull description and perspective relaxation. Oper. Res. Lett. 52: 107059 (2024) - [i16]Valentina Cepeda, Andrés Gómez, Shaoning Han:
Robust support vector machines via conic optimization. CoRR abs/2402.01797 (2024) - 2023
- [j20]Andrés Gómez, Ziyu He, Jong-Shi Pang:
Linear-step solvability of some folded concave and singly-parametric sparse optimization problems. Math. Program. 198(2): 1339-1380 (2023) - [j19]Peijing Liu, Salar Fattahi, Andrés Gómez, Simge Küçükyavuz:
A graph-based decomposition method for convex quadratic optimization with indicators. Math. Program. 200(2): 669-701 (2023) - [j18]Alper Atamtürk, Andrés Gómez:
Supermodularity and valid inequalities for quadratic optimization with indicators. Math. Program. 201(1): 295-338 (2023) - [j17]Shaoning Han, Andrés Gómez, Alper Atamtürk:
$\mathbf {2\times 2}$-Convexifications for convex quadratic optimization with indicator variables. Math. Program. 202(1): 95-134 (2023) - [c4]Nathanael Jo, Sina Aghaei, Jack Benson, Andrés Gómez, Phebe Vayanos:
Learning Optimal Fair Decision Trees: Trade-offs Between Interpretability, Fairness, and Accuracy. AIES 2023: 181-192 - [i15]Ryan Cory-Wright, Andrés Gómez:
Gain Confidence, Reduce Disappointment: A New Approach to Cross-Validation for Sparse Regression. CoRR abs/2306.14851 (2023) - [i14]Salar Fattahi, Andrés Gómez:
Solution Path of Time-varying Markov Random Fields with Discrete Regularization. CoRR abs/2307.13750 (2023) - [i13]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 abs/2307.15691 (2023) - [i12]Nathan Justin, Sina Aghaei, Andrés Gómez, Phebe Vayanos:
Learning Optimal Classification Trees Robust to Distribution Shifts. CoRR abs/2310.17772 (2023) - 2022
- [j16]Shaoning Han, Andrés Gómez, Oleg A. Prokopyev:
Fractional 0-1 programming and submodularity. J. Glob. Optim. 84(1): 77-93 (2022) - [j15]Linchuan Wei, Andrés Gómez, Simge Küçükyavuz:
Ideal formulations for constrained convex optimization problems with indicator variables. Math. Program. 192(1): 57-88 (2022) - [j14]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): 195-198 (2022) - [i11]Linchuan Wei, Alper Atamtürk, Andrés Gómez, Simge Küçükyavuz:
On the convex hull of convex quadratic optimization problems with indicators. CoRR abs/2201.00387 (2022) - [i10]Nathanael Jo, Sina Aghaei, Jack Benson, Andrés Gómez, Phebe Vayanos:
Learning Optimal Fair Classification Trees. CoRR abs/2201.09932 (2022) - 2021
- [j13]Erfan Mehmanchi, Andrés Gómez, Oleg A. Prokopyev:
Solving a class of feature selection problems via fractional 0-1 programming. Ann. Oper. Res. 303(1): 265-295 (2021) - [j12]Andrés Gómez, Oleg A. Prokopyev:
A Mixed-Integer Fractional Optimization Approach to Best Subset Selection. INFORMS J. Comput. 33(2): 551-565 (2021) - [j11]Alper Atamtürk, Andrés Gómez, Shaoning Han:
Sparse and Smooth Signal Estimation: Convexification of L0-Formulations. J. Mach. Learn. Res. 22: 52:1-52:43 (2021) - [j10]Andrés Gómez:
Strong formulations for conic quadratic optimization with indicator variables. Math. Program. 188(1): 193-226 (2021) - [j9]Andrés Gómez:
Outlier Detection in Time Series via Mixed-Integer Conic Quadratic Optimization. SIAM J. Optim. 31(3): 1897-1925 (2021) - [c3]Salar Fattahi, Andrés Gómez:
Scalable Inference of Sparsely-changing Gaussian Markov Random Fields. NeurIPS 2021: 6529-6541 - [i9]Salar Fattahi, Andrés Gómez:
Scalable Inference of Sparsely-changing Markov Random Fields with Strong Statistical Guarantees. CoRR abs/2102.03585 (2021) - [i8]Sina Aghaei, Andrés Gómez, Phebe Vayanos:
Strong Optimal Classification Trees. CoRR abs/2103.15965 (2021) - [i7]Nathanael Jo, Sina Aghaei, Andrés Gómez, Phebe Vayanos:
Learning Optimal Prescriptive Trees from Observational Data. CoRR abs/2108.13628 (2021) - 2020
- [j8]Erfan Mehmanchi, Colin P. Gillen, Andrés Gómez, Oleg A. Prokopyev:
On Robust Fractional 0-1 Programming. INFORMS J. Optim. 2(2): 96-133 (2020) - [j7]Alper Atamtürk, Andrés Gómez:
Submodularity in Conic Quadratic Mixed 0-1 Optimization. Oper. Res. 68(2): 609-630 (2020) - [c2]Alper Atamtürk, Andrés Gómez:
Safe screening rules for L0-regression from Perspective Relaxations. ICML 2020: 421-430 - [c1]Linchuan Wei, Andrés Gómez, Simge Küçükyavuz:
On the Convexification of Constrained Quadratic Optimization Problems with Indicator Variables. IPCO 2020: 433-447 - [i6]Sina Aghaei, Andrés Gómez, Phebe Vayanos:
Learning Optimal Classification Trees: Strong Max-Flow Formulations. CoRR abs/2002.09142 (2020) - [i5]Alper Atamtürk, Andrés Gómez:
Safe Screening Rules for 𝓁0-Regression. CoRR abs/2004.08773 (2020) - [i4]Linchuan Wei, Andrés Gómez, Simge Küçükyavuz:
Ideal formulations for constrained convex optimization problems with indicator variables. CoRR abs/2007.00107 (2020) - [i3]Alper Atamtürk, Andrés Gómez:
Supermodularity and valid inequalities for quadratic optimization with indicators. CoRR abs/2012.14633 (2020)
2010 – 2019
- 2019
- [j6]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): 273-339 (2019) - [j5]Alper Atamtürk, Andrés Gómez:
Simplex QP-based methods for minimizing a conic quadratic objective over polyhedra. Math. Program. Comput. 11(2): 311-340 (2019) - [i2]Alper Atamtürk, Andrés Gómez:
Rank-one Convexification for Sparse Regression. CoRR abs/1901.10334 (2019) - 2018
- [j4]Alper Atamtürk, Andrés Gómez:
Strong formulations for quadratic optimization with M-matrices and indicator variables. Math. Program. 170(1): 141-176 (2018) - [i1]Alper Atamtürk, Andrés Gómez, Shaoning Han:
Sparse and Smooth Signal Estimation: Convexification of L0 Formulations. CoRR abs/1811.02655 (2018) - 2017
- [j3]Alper Atamtürk, Andrés Gómez:
Maximizing a Class of Utility Functions Over the Vertices of a Polytope. Oper. Res. 65(2): 433-445 (2017) - 2016
- [j2]Alper Atamtürk, Andrés Gómez, Simge Küçükyavuz:
Three-partition flow cover inequalities for constant capacity fixed-charge network flow problems. Networks 67(4): 299-315 (2016) - [j1]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): 627-641 (2016)
Coauthor Index
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