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PRODID:-//pretalx//pretalx.com//juliacon-2022//speaker//3T8PAH
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UID:pretalx-juliacon-2022-P7XJCV@pretalx.com
DTSTART:20220729T170000Z
DTEND:20220729T173000Z
DESCRIPTION:We present InferOpt.jl\, a generic package for combining combin
 atorial optimization algorithms with machine learning models. It has two p
 urposes:\n\n- Increasing the expressivity of learning models thanks to new
  types of structured layers.\n- Increasing the efficiency of optimization 
 algorithms thanks to an additional inference step.\n\nOur library provides
  wrappers for several state-of-the-art methods in order to make them compa
 tible with Julia's automatic differentiation ecosystem.
DTSTAMP:20260308T024830Z
LOCATION:Purple
SUMMARY:InferOpt.jl: combinatorial optimization in ML pipelines - Guillaume
  Dalle\, Louis Bouvier\, Léo Baty
URL:https://pretalx.com/juliacon-2022/talk/P7XJCV/
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