Andrés Gómez

49 papers A* 2A 1B 1C 1Journal 44

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Compact Extended Formulations for Low-Rank Functions with Indicator Variables. Math. Oper. Res. Shaoning Han, Andrés Gómez
2025	A	`conf`	Mixed-Feature Logistic Regression Robust to Distribution Shifts. AISTATS Qingshi Sun, Nathan Justin, Andrés Gómez, Phebe Vayanos
2025	J	`jnl`	Rank-one Convexification for Sparse Regression. J. Mach. Learn. Res. Alper Atamtürk, Andrés Gómez
2025	J	`jnl`	Stability Regularized Cross-Validation. CoRR Ryan Cory-Wright, Andrés Gómez
2025	J	`jnl`	Strong Optimal Classification Trees. Oper. Res. Sina Aghaei, Andrés Gómez, Phebe Vayanos
2024	J	`jnl`	A note on quadratic constraints with indicator variables: Convex hull description and perspective relaxation. Oper. Res. Lett. Andrés Gómez, Weijun Xie
2024	J	`jnl`	Comparing solution paths of sparse quadratic minimization with a Stieltjes matrix. Math. Program. Ziyu He, Shaoning Han, Andrés Gómez, Ying Cui, Jong-Shi Pang
2024	J	`jnl`	Fair and Accurate Regression: Strong Formulations and Algorithms. CoRR Anna Deza, Andrés Gómez, Alper Atamtürk
2024	J	`jnl`	On the convex hull of convex quadratic optimization problems with indicators. Math. Program. Linchuan Wei, Alper Atamtürk, Andrés Gómez, Simge Küçükyavuz
2024	J	`jnl`	Robust support vector machines via conic optimization. CoRR Valentina Cepeda, Andrés Gómez, Shaoning Han
2023	J	`jnl`	$\mathbf {2\times 2}$-Convexifications for convex quadratic optimization with indicator variables. Math. Program. Shaoning Han, Andrés Gómez, Alper Atamtürk
2023	J	`jnl`	A graph-based decomposition method for convex quadratic optimization with indicators. Math. Program. Peijing Liu, Salar Fattahi, Andrés Gómez, Simge Küçükyavuz
2023	J	`jnl`	Gain Confidence, Reduce Disappointment: A New Approach to Cross-Validation for Sparse Regression. CoRR Ryan Cory-Wright, Andrés Gómez
2023	J	`jnl`	Learning Optimal Classification Trees Robust to Distribution Shifts. CoRR Nathan Justin, Sina Aghaei, Andrés Gómez, Phebe Vayanos
2023	C	`conf`	Learning Optimal Fair Decision Trees: Trade-offs Between Interpretability, Fairness, and Accuracy. AIES Nathanael Jo, Sina Aghaei, Jack Benson, Andrés Gómez, Phebe Vayanos
2023	J	`jnl`	Linear-step solvability of some folded concave and singly-parametric sparse optimization problems. Math. Program. Andrés Gómez, Ziyu He, Jong-Shi Pang
2023	J	`jnl`	ODTlearn: A Package for Learning Optimal Decision Trees for Prediction and Prescription. CoRR Patrick Vossler, Sina Aghaei, Nathan Justin, Nathanael Jo, Andrés Gómez, Phebe Vayanos
2023	J	`jnl`	Solution Path of Time-varying Markov Random Fields with Discrete Regularization. CoRR Salar Fattahi, Andrés Gómez
2023	J	`jnl`	Supermodularity and valid inequalities for quadratic optimization with indicators. Math. Program. Alper Atamtürk, Andrés Gómez
2022	J	`jnl`	Fractional 0-1 programming and submodularity. J. Glob. Optim. Shaoning Han, Andrés Gómez, Oleg A. Prokopyev
2022	J	`jnl`	Ideal formulations for constrained convex optimization problems with indicator variables. Math. Program. Linchuan Wei, Andrés Gómez, Simge Küçükyavuz
2022	J	`jnl`	Learning Optimal Fair Classification Trees. CoRR Nathanael Jo, Sina Aghaei, Jack Benson, Andrés Gómez, Phebe Vayanos
2022	J	`jnl`	On the convex hull of convex quadratic optimization problems with indicators. CoRR Linchuan Wei, Alper Atamtürk, Andrés Gómez, Simge Küçükyavuz
2022	J	`jnl`	The equivalence of optimal perspective formulation and Shor's SDP for quadratic programs with indicator variables. Oper. Res. Lett. Shaoning Han, Andrés Gómez, Alper Atamtürk
2021	J	`jnl`	A Mixed-Integer Fractional Optimization Approach to Best Subset Selection. INFORMS J. Comput. Andrés Gómez, Oleg A. Prokopyev
2021	J	`jnl`	Learning Optimal Prescriptive Trees from Observational Data. CoRR Nathanael Jo, Sina Aghaei, Andrés Gómez, Phebe Vayanos
2021	J	`jnl`	Outlier Detection in Time Series via Mixed-Integer Conic Quadratic Optimization. SIAM J. Optim. Andrés Gómez
2021	A*	`conf`	Scalable Inference of Sparsely-changing Gaussian Markov Random Fields. NeurIPS Salar Fattahi, Andrés Gómez
2021	J	`jnl`	Scalable Inference of Sparsely-changing Markov Random Fields with Strong Statistical Guarantees. CoRR Salar Fattahi, Andrés Gómez
2021	J	`jnl`	Solving a class of feature selection problems via fractional 0-1 programming. Ann. Oper. Res. Erfan Mehmanchi, Andrés Gómez, Oleg A. Prokopyev
2021	J	`jnl`	Sparse and Smooth Signal Estimation: Convexification of L0-Formulations. J. Mach. Learn. Res. Alper Atamtürk, Andrés Gómez, Shaoning Han
2021	J	`jnl`	Strong Optimal Classification Trees. CoRR Sina Aghaei, Andrés Gómez, Phebe Vayanos
2021	J	`jnl`	Strong formulations for conic quadratic optimization with indicator variables. Math. Program. Andrés Gómez
2020	J	`jnl`	Ideal formulations for constrained convex optimization problems with indicator variables. CoRR Linchuan Wei, Andrés Gómez, Simge Küçükyavuz
2020	J	`jnl`	Learning Optimal Classification Trees: Strong Max-Flow Formulations. CoRR Sina Aghaei, Andrés Gómez, Phebe Vayanos
2020	J	`jnl`	On Robust Fractional 0-1 Programming. INFORMS J. Optim. Erfan Mehmanchi, Colin P. Gillen, Andrés Gómez, Oleg A. Prokopyev
2020	B	`conf`	On the Convexification of Constrained Quadratic Optimization Problems with Indicator Variables. IPCO Linchuan Wei, Andrés Gómez, Simge Küçükyavuz
2020	J	`jnl`	Safe Screening Rules for 𝓁 CoRR Alper Atamtürk, Andrés Gómez
2020	A*	`conf`	Safe screening rules for L0-regression from Perspective Relaxations. ICML Alper Atamtürk, Andrés Gómez
2020	J	`jnl`	Submodularity in Conic Quadratic Mixed 0-1 Optimization. Oper. Res. Alper Atamtürk, Andrés Gómez
2020	J	`jnl`	Supermodularity and valid inequalities for quadratic optimization with indicators. CoRR Alper Atamtürk, Andrés Gómez
2019	J	`jnl`	Fractional 0-1 programs: links between mixed-integer linear and conic quadratic formulations. J. Glob. Optim. Erfan Mehmanchi, Andrés Gómez, Oleg A. Prokopyev
2019	J	`jnl`	Rank-one Convexification for Sparse Regression. CoRR Alper Atamtürk, Andrés Gómez
2019	J	`jnl`	Simplex QP-based methods for minimizing a conic quadratic objective over polyhedra. Math. Program. Comput. Alper Atamtürk, Andrés Gómez
2018	J	`jnl`	Sparse and Smooth Signal Estimation: Convexification of L0 Formulations. CoRR Alper Atamtürk, Andrés Gómez, Shaoning Han
2018	J	`jnl`	Strong formulations for quadratic optimization with M-matrices and indicator variables. Math. Program. Alper Atamtürk, Andrés Gómez
2017	J	`jnl`	Maximizing a Class of Utility Functions Over the Vertices of a Polytope. Oper. Res. Alper Atamtürk, Andrés Gómez
2016	J	`jnl`	On Modeling Stochastic Travel and Service Times in Vehicle Routing. Transp. Sci. Andrés Gómez, Ricardo Mariño, Raha Akhavan-Tabatabaei, Andrés L. Medaglia, Jorge E. Mendoza
2016	J	`jnl`	Three-partition flow cover inequalities for constant capacity fixed-charge network flow problems. Networks Alper Atamtürk, Andrés Gómez, Simge Küçükyavuz