509 citations · 3.2k across the 61 of their papers we have counts for
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Adaptive Sampling Quasi-Newton Methods for Derivative-Free Stochastic Optimization
Raghu Bollapragada, Stefan M. Wild
We consider stochastic zero-order optimization problems, which arise in settings from simulation optimization to reinforcement learning. We propose an adaptive sampling quasi-Newto…
Derivative-free optimization methods
Jeffrey Larson, Matt Menickelly, Stefan M. Wild
In many optimization problems arising from scientific, engineering and artificial intelligence applications, objective and constraint functions are available only as the output of…
A Method for Convex Black-Box Integer Global Optimization
Jeffrey Larson, Sven Leyffer, Prashant Palkar +1
We study the problem of minimizing a convex function on a nonempty, finite subset of the integer lattice when the function cannot be evaluated at noninteger points. We propose a ne…