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09/13/2022
An extensive numerical benchmark study of deterministic vs. stochastic derivative-free global optimization algorithms
Research in derivative-free global optimization is under active developm...
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08/18/2022
Challenges and opportunities in applying Neural Temporal Point Processes to large scale industry data
In this work, we identify open research opportunities in applying Neural...
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09/30/2021
An empirical study of various candidate selection and partitioning techniques in the DIRECT framework
Over the last three decades, many attempts have been made to improve the...
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07/05/2021