383 citations · 432 across the 16 of their papers we have counts for
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math.OC2022★ 6 cited
Structure-Aware Methods for Expensive Derivative-Free Nonsmooth Composite Optimization
Jeffrey Larson, Matt Menickelly
We present new methods for solving a broad class of bound-constrained nonsmooth composite minimization problems. These methods are specially designed for objectives that are some k…
math.OC2022
Stochastic Average Model Methods
Matt Menickelly, Stefan M. Wild
We consider the solution of finite-sum minimization problems, such as those appearing in nonlinear least-squares or general empirical risk minimization problems. We are motivated b…
quant-ph2022★ 19 cited
Latency considerations for stochastic optimizers in variational quantum algorithms
Matt Menickelly, Yunsoo Ha, Matthew Otten
Variational quantum algorithms, which have risen to prominence in the noisy intermediate-scale quantum setting, require the implementation of a stochastic optimizer on classical ha…