Scalable Derivative-Free Optimization for Nonlinear Least-Squares Problems

26 Jul 2020 Coralia Cartis Tyler Ferguson Lindon Roberts

Derivative-free - or zeroth-order - optimization (DFO) has gained recent attention for its ability to solve problems in a variety of application areas, including machine learning, particularly involving objectives which are stochastic and/or expensive to compute. In this work, we develop a novel model-based DFO method for solving nonlinear least-squares problems... (read more)

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