Andres Gomez | DeepAI

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Featured Co-authors

Luca Benini
202 publications
Lothar Thiele
23 publications
Salar Fattahi
21 publications
Ryan Cory-Wright
11 publications
Phebe Vayanos
11 publications
Alper Atamturk
10 publications
Sina Aghaei
7 publications
Christian Laugier
6 publications
Simge Küçükyavuz
5 publications
Nathanael Jo
4 publications
Patrick Vossler
4 publications

∙ 07/28/2023

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

ODTLearn is an open-source Python package that provides methods for lear...

0 Patrick Vossler, et al. ∙

∙ 07/25/2023

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

We study the problem of inferring sparse time-varying Markov random fiel...

0 Salar Fattahi, et al. ∙

∙ 07/12/2023

Outlier detection in regression: conic quadratic formulations

In many applications, when building linear regression models, it is impo...

0 Andres Gomez, et al. ∙

∙ 06/26/2023

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

Ridge regularized sparse regression involves selecting a subset of featu...

0 Ryan Cory-Wright, et al. ∙

∙ 01/24/2022

Learning Optimal Fair Classification Trees

The increasing use of machine learning in high-stakes domains – where pe...

8 Nathanael Jo, et al. ∙

∙ 01/02/2022

On the convex hull of convex quadratic optimization problems with indicators

We consider the convex quadratic optimization problem with indicator var...

0 Linchuan Wei, et al. ∙

∙ 08/31/2021

Learning Optimal Prescriptive Trees from Observational Data

We consider the problem of learning an optimal prescriptive tree (i.e., ...

4 Nathanael Jo, et al. ∙

∙ 08/05/2021

Memory-Aware Partitioning of Machine Learning Applications for Optimal Energy Use in Batteryless Systems

Sensing systems powered by energy harvesting have traditionally been des...

0 Andres Gomez, et al. ∙

∙ 07/27/2021

Dynamic and Static Object Detection Considering Fusion Regions and Point-wise Features

Object detection is a critical problem for the safe interaction between ...

2 Andres Gomez, et al. ∙

∙ 03/29/2021

Strong Optimal Classification Trees

Decision trees are among the most popular machine learning models and ar...

19 Sina Aghaei, et al. ∙

∙ 02/06/2021

Scalable Inference of Sparsely-changing Markov Random Fields with Strong Statistical Guarantees

In this paper, we study the problem of inferring time-varying Markov ran...

0 Salar Fattahi, et al. ∙

∙ 12/29/2020

Supermodularity and valid inequalities for quadratic optimization with indicators

We study the minimization of a rank-one quadratic with indicators and sh...

0 Alper Atamturk, et al. ∙

∙ 06/30/2020

Ideal formulations for constrained convex optimization problems with indicator variables

Motivated by modern regression applications, in this paper, we study the...

0 Linchuan Wei, et al. ∙

∙ 04/19/2020

Safe Screening Rules for ℓ_0-Regression

We give safe screening rules to eliminate variables from regression with...

0 Alper Atamturk, et al. ∙

∙ 02/21/2020

Learning Optimal Classification Trees: Strong Max-Flow Formulations

We consider the problem of learning optimal binary classification trees....

12 Sina Aghaei, et al. ∙

∙ 01/29/2019

Rank-one Convexification for Sparse Regression

Sparse regression models are increasingly prevalent due to their ease of...

0 Alper Atamturk, et al. ∙

∙ 11/06/2018

Sparse and Smooth Signal Estimation: Convexification of L0 Formulations

Signal estimation problems with smoothness and sparsity priors can be na...

0 Alper Atamturk, et al. ∙

∙ 04/20/2017

Intrusion Prevention and Detection in Grid Computing - The ALICE Case

Grids allow users flexible on-demand usage of computing resources throug...

0 Andres Gomez, et al. ∙

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