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11/29/2022
Fully Stochastic Trust-Region Sequential Quadratic Programming for Equality-Constrained Optimization Problems
We propose a trust-region stochastic sequential quadratic programming al...
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08/29/2022
On the Lasso for Graphical Continuous Lyapunov Models
Graphical continuous Lyapunov models offer a new perspective on modeling...
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01/31/2022
L-SVRG and L-Katyusha with Adaptive Sampling
Stochastic gradient-based optimization methods, such as L-SVRG and its a...
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12/28/2021
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback
In federated learning (FL) problems, client sampling plays a key role in...
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02/10/2021
An Adaptive Stochastic Sequential Quadratic Programming with Differentiable Exact Augmented Lagrangians
We consider the problem of solving nonlinear optimization programs with ...
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11/27/2018
