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09/19/2022
State-driven Implicit Modeling for Sparsity and Robustness in Neural Networks
Implicit models are a general class of learning models that forgo the hi...
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08/07/2022
Parabolic Relaxation for Quadratically-constrained Quadratic Programming – Part II: Theoretical Computational Results
In the first part of this work [32], we introduce a convex parabolic rel...
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08/07/2022
Parabolic Relaxation for Quadratically-constrained Quadratic Programming – Part I: Definitions Basic Properties
For general quadratically-constrained quadratic programming (QCQP), we p...
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02/01/2022
Safe Screening for Logistic Regression with ℓ_0-ℓ_2 Regularization
In logistic regression, it is often desirable to utilize regularization ...
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01/02/2022
On the convex hull of convex quadratic optimization problems with indicators
We consider the convex quadratic optimization problem with indicator var...
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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...
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04/19/2020
Safe Screening Rules for ℓ_0-Regression
We give safe screening rules to eliminate variables from regression with...
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12/31/2019
Submodular Function Minimization and Polarity
Using polarity, we give an outer polyhedral approximation for the epigra...
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01/29/2019
Rank-one Convexification for Sparse Regression
Sparse regression models are increasingly prevalent due to their ease of...
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11/06/2018