52:32
Michael Unser: Splines and Machine Learning: From classical RKHS methods to DNN (MLSP 2020 keynote)
Steven Van Vaerenbergh
1:00:57
Ole Winther: Latent variable models from independent components to VAEs and flows (MLSP2020 keynote)
46:59
Razvan Pascanu: Improving learning efficiency for deep neural networks (MLSP 2020 keynote)
39:30
Aki Vehtari: Stan and probabilistic programming (MLSP 2020 tutorial)
