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SUMMARY:Pengcheng Xie (remote) (Lawrence Berkeley National Laboratory)
DTSTART:20260127T233000Z
DTEND:20260128T003000Z
DTSTAMP:20260513T201628Z
UID:SFUOR/64
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/SFUOR/64/">M
 odel-Based Derivative-Free Optimization with Improved Approximation</a>\nb
 y Pengcheng Xie (remote) (Lawrence Berkeley National Laboratory) as part o
 f PIMS-CORDS SFU Operations Research Seminar\n\nLecture held in ASB 10908.
 \n\nAbstract\nThis talk will discuss traditional and modern approximation 
 techniques for (expensive) derivative-free\noptimization\, in which the ap
 proximation serves as a tool for identifying the optimality of the black-b
 ox objective\, rather than merely approximating the black box itself. Stat
 ic (offline) strategies and dynamic (online) strategies will be discussed.
  Such approximation ideas can also be naturally extended to first-order an
 d higher-order methods.\n
LOCATION:https://researchseminars.org/talk/SFUOR/64/
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