| Personal website | https://deisenroth.cc |
| MML Book | https://mml-book.com |
| Research group website | https://sml-group.cc |
| Personal website | https://deisenroth.cc |
| MML Book | https://mml-book.com |
| Research group website | https://sml-group.cc |
This spring, the "crazy off-by-one weeks" period is three weeks long. The time between the US change to daylight saving until the EU switches. All US<=>Euro meetings are off by one hour during this period.
Starts now, ends on March 31. The perfect excuse to miss out on selected most boring meetings =)
'Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees', by Alexander Terenin et al.
http://jmlr.org/papers/v25/22-1170.html
#interpolation #sparse #gaussian
The "User-friendly Introduction to PAC-Bayes Bounds" by my friend Pierre Alquier is now officially published! I strongly recommend it if you want to know what PAC-Bayes is about. You can purchase it or download a free version here (you can also find it on arxiv):
Iām happy to share that Iām starting a new position as Director of Science and Innovation---Grand Challenges (Environment & Sustainability) at The Alan Turing Institute.
If you liked our ( @deisenroth Aldo Faisal, and me) #Mathematics for #MachineLearning book
https://mml-book.com
(PDF freely downloadable)
and want to have a hard copy, you can get a 30% discount this month on the publisher's website as part of #neurips2023 .
https://www.cambridge.org/us/universitypress/conferences/neural-information-processing-systems3/
Discount code: 101868
'The Bayesian Learning Rule', by Mohammad Emtiyaz Khan, HƄvard Rue.
http://jmlr.org/papers/v24/22-0291.html
#bayesian #gradients #gradient
Good news from the ELISE network for scientists planning a research stay in another lab or who would like to host a researcher for a short/long-term visit: ELISE mobility funding is now also available for researchers outside the ELLIS/ELISE network!
Find all details and the guidelines for application here: https://www.elise-ai.eu/work/researcher-mobility
ELISE is a network of artificial intelligence research hubs. Based on the highest level research, it spreads its knowledge and methods in academia, industry and society. The network invites all ways of reasoning, considering all types of data, applicable for almost all sectors of science and industry. We do this while being aware of data safety and security and striving to explainable and trustworthy outcomes.