Andres Gomez

Andres Gomez

University of Southern California

H-index: 15

North America-United States

About Andres Gomez

Andres Gomez, With an exceptional h-index of 15 and a recent h-index of 15 (since 2020), a distinguished researcher at University of Southern California, specializes in the field of Mixed-integer optimization, nonlinear optimization.

His recent articles reflect a diverse array of research interests and contributions to the field:

A note on quadratic constraints with indicator variables: Convex hull description and perspective relaxation

Polyhedral Analysis of Quadratic Optimization Problems with Stieltjes Matrices and Indicators

On the convex hull of convex quadratic optimization problems with indicators

Robust support vector machines via conic optimization

Multi-BOWS: multi-fidelity multi-objective Bayesian optimization with warm starts for nanophotonic structure design

A Parametric Approach for Solving Convex Quadratic Optimization with Indicators Over Trees

Linear-step solvability of some folded concave and singly-parametric sparse optimization problems

ODTlearn: A Package for Learning Optimal Decision Trees for Prediction and Prescription

Andres Gomez Information

University

Position

Industrial and Systems Engineering at the

Citations(all)

725

Citations(since 2020)

674

Cited By

250

hIndex(all)

15

hIndex(since 2020)

15

i10Index(all)

22

i10Index(since 2020)

21

Email

University Profile Page

University of Southern California

Google Scholar

View Google Scholar Profile

Andres Gomez Skills & Research Interests

Mixed-integer optimization

nonlinear optimization

Top articles of Andres Gomez

Title

Journal

Author(s)

Publication Date

A note on quadratic constraints with indicator variables: Convex hull description and perspective relaxation

Operations Research Letters

Andrés Gómez

Weijun Xie

2024/1/1

Polyhedral Analysis of Quadratic Optimization Problems with Stieltjes Matrices and Indicators

arXiv preprint arXiv:2404.04236

Peijing Liu

Alper Atamtürk

Andrés Gómez

Simge Küçükyavuz

2024/4/5

On the convex hull of convex quadratic optimization problems with indicators

Mathematical Programming

Linchuan Wei

Alper Atamtürk

Andrés Gómez

Simge Küçükyavuz

2024

Robust support vector machines via conic optimization

arXiv preprint arXiv:2402.01797

Valentina Cepeda

Andrés Gómez

Shaoning Han

2024/2/2

Multi-BOWS: multi-fidelity multi-objective Bayesian optimization with warm starts for nanophotonic structure design

Digital Discovery

Jungtaek Kim

Mingxuan Li

Yirong Li

Andrés Gómez

Oliver Hinder

...

2024

A Parametric Approach for Solving Convex Quadratic Optimization with Indicators Over Trees

arXiv preprint arXiv:2404.08178

Aaresh Bhathena

Salar Fattahi

Andrés Gómez

Simge Küçükyavuz

2024/4/12

Linear-step solvability of some folded concave and singly-parametric sparse optimization problems

Mathematical Programming

Andrés Gómez

Ziyu He

Jong-Shi Pang

2023/4

ODTlearn: A Package for Learning Optimal Decision Trees for Prediction and Prescription

arXiv preprint arXiv:2307.15691

Patrick Vossler

Sina Aghaei

Nathan Justin

Nathanael Jo

Andrés Gómez

...

2023/7/28

-Convexifications for convex quadratic optimization with indicator variables

Mathematical Programming

Shaoning Han

Andrés Gómez

Alper Atamtürk

2023/11

Comparing Solution Paths of Sparse Quadratic Minimization with a Stieltjes Matrix

Mathematical Programming

Ziyu He

Shaoning Han

Andres Gomez

Ying Cui

Jong-Shi Pang

2023

Solution Path of Time-varying Markov Random Fields with Discrete Regularization

arXiv preprint arXiv:2307.13750

Salar Fattahi

Andres Gomez

2023/7/25

Learning Optimal Classification Trees Robust to Distribution Shifts

arXiv preprint arXiv:2310.17772

Nathan Justin

Sina Aghaei

Andrés Gómez

Phebe Vayanos

2023/10/26

Outlier detection in regression: conic quadratic formulations

arXiv preprint arXiv:2307.05975

Andrés Gómez

José Neto

2023/7/12

Supermodularity and valid inequalities for quadratic optimization with indicators

Mathematical Programming

Alper Atamtürk

Andrés Gómez

2023/9

A graph-based decomposition method for convex quadratic optimization with indicators

Mathematical Programming

Peijing Liu

Salar Fattahi

Andrés Gómez

Simge Küçükyavuz

2023/7

Gain Confidence, Reduce Disappointment: A New Approach to Cross-Validation for Sparse Regression

arXiv preprint arXiv:2306.14851

Ryan Cory-Wright

Andrés Gómez

2023/6/26

Learning optimal fair decision trees: Trade-offs between interpretability, fairness, and accuracy

Nathanael Jo

Sina Aghaei

Jack Benson

Andres Gomez

Phebe Vayanos

2023/8/8

Ideal formulations for constrained convex optimization problems with indicator variables

Mathematical Programming

Linchuan Wei

Andrés Gómez

Simge Küçükyavuz

2022/3

Learning Optimal Fair Classification Trees: Trade-offs Between Interpretability, Fairness, and Accuracy

arXiv preprint arXiv:2201.09932

Nathanael Jo

Sina Aghaei

Andrés Gómez

Phebe Vayanos

2022/1/24

Learning optimal fair classification trees

arXiv preprint arXiv:2201.09932

Nathanael Jo

Sina Aghaei

Jack Benson

Andrés Gómez

Phebe Vayanos

2022

See List of Professors in Andres Gomez University(University of Southern California)

Co-Authors

H-index: 43
Alper Atamturk

Alper Atamturk

University of California, Berkeley

H-index: 36
Andrés L. Medaglia

Andrés L. Medaglia

Universidad de Los Andes

H-index: 32
Oleg A Prokopyev

Oleg A Prokopyev

University of Pittsburgh

H-index: 23
Simge Küçükyavuz

Simge Küçükyavuz

Northwestern University

H-index: 21
Phebe Vayanos

Phebe Vayanos

University of Southern California

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