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03/23/2023
Optimization and Optimizers for Adversarial Robustness
Empirical robustness evaluation (RE) of deep learning models against adv...
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10/03/2022
NCVX: A General-Purpose Optimization Solver for Constrained Machine and Deep Learning
Imposing explicit constraints is relatively new but increasingly pressin...
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10/02/2022
Optimization for Robustness Evaluation beyond ℓ_p Metrics
Empirical evaluation of deep learning models against adversarial attacks...
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11/27/2021
NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning
Optimizing nonconvex (NCVX) problems, especially nonsmooth and constrain...
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09/02/2021
Root-max Problems, Hybrid Expansion-Contraction, and Quadratically Convergent Optimization of Passive Systems
We present quadratically convergent algorithms to compute the extremal v...
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04/08/2021
Fast optimization of viscosities for frequency-weighted damping of second-order systems
We consider frequency-weighted damping optimization for vibrating system...
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03/04/2021
Optimization-based parametric model order reduction via ℋ_2⊗ℒ_2 first-order necessary conditions
In this paper, we generalize existing frameworks for ℋ_2⊗ℒ_2-optimal mod...
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01/31/2020
Convergence rate analysis and improved iterations for numerical radius computation
We analyze existing methods for computing the numerical radius and intro...
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11/12/2019
Fast Computation of Sep_λ via Interpolation-based Globality Certificates
Given two square matrices A and B, we propose a new algorithm for comput...
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10/02/2019
Fast Interpolation-based Globality Certificates for Computing Kreiss Constants and the Distance to Uncontrollability
The Kreiss constant of a matrix and the distance to uncontrollability ca...
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12/22/2017
