Very excited to give a talk at AABI tomorrow (Feb 1st) at 5PM GMT / 12PM ET!
I will be talking about our recent work on HMC for Bayesian neural networks, cold posteriors, priors, approximate inference and BNNs under distribution shift. Please join!
I did my first (very short) hike today, in a very long time (2yrs). I feel fortunate to be finally healthy enough to go out in the nature again.
This is Mount Fuji from Mount Takao right after the sunset.
Are your hyper-parameter optimization benchmarks too expensive or unrealistic? Try PROFET: https://t.co/dyE9Iz29jA
Great collaboration with Aaron Klein, Zhenwen Dai @lawrennd and @FrankRHutter. Great work Aaron!
Excited to release our @PyTorch implementation of Leap, a meta-learner that scales beyond few-shot learning! Code available at https://t.co/2yV4ehzbmf
Joint work with Pablo Moreno, @lawrennd and @adamianou
Our paper "Transferring knowledge across learning processes" has been accepted as ORAL presentation for #ICLR2019 !
https://t.co/mLG9UDwaQT
TL;DR: A new view on meta-learning to scale beyond few shot learning.
w/ @flennerhag@pgmoren@lawrennd
Sebastian at #NeurIPS2018 meta-learning workshop, presenting the work we did during his internship @amazon. A new view on meta-learning to scale beyond few-shot learning. Full paper: https://t.co/mLG9UDwaQT with @flennerhag , P. Moreno, @lawrennd
@jrailpass After promising our tickets in 2 days, 13 days and counting!!! Where are our tickets? 742 euros were not a donation! Still waiting for the tracking number! @Tripadvisor indicates I am not alone #dodgy