#MLSS2020 had a test run today, looks like we're good to go! The organizers gave details about the virtual event and had casual chat about the upcoming activities. Keeping our energy levels high⚡️T - 10 days⏱️ cc Mijung Park Georgios Arvanitidis Wittawat Jitkrittum Bernhard Schölkopf Intelligent Systems

Data sharing agreements (DSAs) are crucial for establishing trust & accountability, but they can be complex & tedious to negotiate. @sdsn_TReNDS' new report shows how DSAs are established in practice & provides key considerations for future collaborators: bit.ly/2N5qJu8

Peter Dayan would be talking about Computational #Neuroscience at #MLSS2020 (1st July). #ReinforcementLearning #Bayesian He's a Director Max Planck Institute for Biological Cybernetics (Ex-Gatsby Computational Neuroscience Unit) & co-leading ELLIS program on Natural Intelligence🧠 cc Bernhard Schölkopf International Brain Laboratory @TueNeuroCampus

Busy with the virtual MLSS organisation!!! Together with Wittawat Jitkrittum and Georgios Arvanitidis

Arthur Gretton will be speaking on #Kernel Methods at #MLSS2020 (6th/7th July). #MachineLearning #Statistics He's a Professor at Gatsby Computational Neuroscience Unit (Director @UCLcsml), & ELLIS Fellow for Theory, Algorithms & Computations program. cc Intelligent Systems Bernhard Schölkopf UCL Max Planck Institute for Biological Cybernetics

In case you missed it, today had several announcements about Differential Privacy in practice! Here is the announcement from Microsoft on the differential privacy platform co-developed with Harvard’s OpenDP unlocks data while safeguarding privacy: blogs.microsoft.com/on-the-issues/…

Doina Precup will be speaking on Deep Reinforcement Learning at #MLSS2020 (8th & 9th July). She's a Prof. at McGill University/milamontreal and leading @DeepMind Montreal. Also, a CCAI Chair and #CIFAR Senior Fellow (Learning in Machines and Brains program). cc Intelligent Systems CIFAR

Sonia Petrone will be speaking about Bayesian Prediction with Streaming Data at #MLSS2020 (1st July). She's a Professor at Università Bocconi (#Statistics & Decision Sciences, Time-series Analysis) cc Intelligent Systems Cyber Valley

Yoshua Bengio will be speaking about Deep Learning at #MLSS2020 (6th & 7th July). #MachineLearning He is the Scientific Director of milamontreal and IVADO, also co-director of #CIFAR Program on Learning in Machines & Brains. cc Bernhard Schölkopf Intelligent Systems Université de Montréal

Virtual Machine Learning Summer School (MLSS) 2020 starting on Monday 29th June! mlss.tuebingen.mpg.de/2020/schedule.… Lectures livestreamed and remain online on Youtube. Submit questions on Reddit reddit.com/r/virtualMLSS2… . Join us! #MLSS2020

Our year-long planned event (but 3-mo planned for the virtual version) is starting in about 4 hours. youtu.be/8staJlMbAig

Starting in 30 mins, see ya'll! x.com/bschoelkopf/st…… Kudos to our dedicated organizing team 🤝Mijung Georgios Arvanitidis Wittawat Jitkrittum Bernhard Schölkopf and the volunteers! cc Intelligent Systems Cyber Valley 🇩🇪ELLIS 🌍 Thanks to Sponsors👏🙌Bloomberg Google AI Amazon Science @Bosch_AI

We are sharing our introduction video, meet our participants.🌍📽️ We are glad to have such diversity at #MLSS2020 enriching our discussions. youtu.be/itkOs8pmwN4 Thanks to our sponsors (Bloomberg Amazon Science Google AI Bosch Center for Artificial Intelligence) Video credits: Alejandro Posada Intelligent Systems

Ferenc Huszár Lee Zamparo 🖖 Yes, conference papers definitely have a role. And they allow the field to move rapidly. But I think they're in this weird hinterland now. They used to be a great way to get quick feedback on an idea. But now that they're academic currency that role is undermined.

Can't agree more to what Francis says here during our mlss (co-organized with Georgios Arvanitidis, Wittawat Jitkrittum, Bernhard Schölkopf): youtu.be/hySWy2P6akc

#MLSS2020 is already half over, and what can we say: it's going great! 1st Week Recap Video (Say hello!) youtu.be/P85YCGtRmxQ We're very pleased with the amount of energy and enthusiasm that we've experienced so far. Intelligent Systems Mijung Wittawat Jitkrittum Georgios Arvanitidis Bernhard Schölkopf

Submit your paper to our NeurIPS workshop on privacy-preserving machine learning, ppml-workshop.github.io! Adrian Weller Antti Honkela Kamalika Chaudhuri Adrià Gascón Borja Balle @aurelien_bellet, Mariana Raykova,Olya Ohrimenko, Mary Smart,Antti Koskela,Casey Meehan,James Bell,Yu-Xiang Wang

4 new faculty hired in #machinelearning and #Vision at #UBCCS to meet growing demand. ow.ly/Rw2D50BHeSn UBC Science

The virtual MLSS2020 gave me *long-lasting* outcomes : (1) computer elbow and (2) valuable experience of leading an organization of virtual MLSS (first time in history!). I hope this blog post helps many people planning to organize similar events. (But no more pandemic, please!)