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UID:pretalx-juliacon2024-9JHYJE@pretalx.com
DTSTART;TZID=CET:20240712T102000
DTEND;TZID=CET:20240712T103000
DESCRIPTION:`ExponentialFamilyManifolds.jl` efficiently tackles non-conjuga
 te inference in probabilistic models by projecting distributions onto expo
 nential families using Kullback-Leibler divergence optimization. Integrati
 ng with `Manifolds.jl`\, `Manopt.jl`\, and `RxInfer.jl`\, it enhances scal
 ability and inference efficiency\, especially in models with conjugate and
  non-conjugate elements. This makes inference with exponential family prio
 rs both efficient and flexible.
DTSTAMP:20260309T213442Z
LOCATION:Function (4.1)
SUMMARY:ExponentialFamilyManifolds.jl: Advancing Probabilistic Modeling - M
 ykola Lukashchuk\, Bert de Vries
URL:https://pretalx.com/juliacon2024/talk/9JHYJE/
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