Omar Chehab
@lomarchehab
Postdoc @Ensaeparis / @CrestUmr, working on sampling and estimating energy-based models. Previously, PhD @Inria.
ID: 1290013685352669184
https://l-omar-chehab.github.io 02-08-2020 19:56:53
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Annealing/tempering are common ways to speed up sampling/optimization, but I was always a bit mystified how they help with *statistical* issues (i.e. sample complexity). New paper with talented (masters!!) student Yilong Qin: arxiv.org/abs/2306.09332
🚀 Deadline extended to the 3rd of October for the Workshop on Optimal Transport and Machine Learning @Neurips 2023! Amazing lineup of speakers ! PS: recent submissions to neurips/iclr/aistats are welcome Site: otmlworkshop.github.io #Monge David Alvarez Melis Charlotte Bunne marco cuturi