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SUMMARY:Some topics of Bayesian Inference
DTSTART;VALUE=DATE-TIME:20260601T090000Z
DTEND;VALUE=DATE-TIME:20260605T110000Z
DTSTAMP;VALUE=DATE-TIME:20260811T015003Z
UID:indico-event-8448@indico.ific.uv.es
DESCRIPTION:The course will consist of 10 hours\, 2h per day. The outline 
 is the following:\n\n1. Fundamentals of Bayesian Inference. Laplace Appr
 oximation \n\n2. Variational Inference\; Kullback-Leibler divergence. Wor
 king example with Tensorflow v2 (python)\n\n3. Inference in function spa
 ce: Gaussian Processes\, Implicit Processes.\n\n4. Approximate Bayesian C
 omputation (ABC). Likelihood-free method. Normalizing flows.\n\n5. Markov
  Processes\; Markov Chain Monte Carlo\; Hybrid (a.k.a. Hamilton) Monte Car
 lo. \n\nMany of the topics will be accompanied by coding examples.\n\n \
 n\n****** DAY\, TIME\, ROOM ***\n\n- Tuesday\, 14:30 - 16:30.  1001-Pr
 imera-1-1-1 - Paterna. Seminario\n\n- Wednesday\, 11:00 - 13:00. 1001-P
 rimera-1-1-1 - Paterna. Seminario\n\n- Thursday\, 11:00 - 13:00. 1001-P
 rimera-1-1-1 - Paterna. Seminario\n\n- Friday\, 14:30 - 16:30. 1001-Pri
 mera-1-1-1 - Paterna. Seminario.\n\n- Monday 8th\, 11:00 - 13:00. Sala de
  Audiovisuales\n\nhttps://indico.ific.uv.es/event/8448/
LOCATION:
URL:https://indico.ific.uv.es/event/8448/
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