Yuan Zhou

PhD in CS Oxford, Probabilsitic Programming, Machine Learning @CompSciOxford @oxcsml

[Thomas Wiecki @twiecki]

Viola and her team have developed an impressive #COVID19 change point model in #PyMC3 that was published in Science. Couldn't be more excited about her keynote at #PyMCon. https://t.co/hec2k1Zeil https://t.co/XbR5qsRxv5

[Yuan Zhou @yuaanzhou]

@martin_trapp Thanks, Martin!

[Yuan Zhou @yuaanzhou]

@oxcsml @CompSciOxford @OxfordStats #ICML2020

[Yuan Zhou @yuaanzhou]

Join us at @icmlconf for our paper "Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support".

w/ @hyang144 @yeewhye @tom_rainforth

PDF + Talk: https://t.co/w18YLfN7EO
Live Q&A: Wed Jul 15 20:00pm & Thu Jul 16 9:00am UTC+1

[Yee Whye Teh @yeewhye]

Urgent request for help for a friend: do you know anybody in oxford who has recovered from covid19 and can help take care of children? Pls DM me.

[Yuan Zhou @yuaanzhou]

Highly recommend!

[Hongseok Yang @hyang144]

Here is a video of my POPL'20 invited talk: https://t.co/dHKduUjp0V. The first half is about the introduction to prob. programming and the second is about the relevance of program abstraction for probabilistic inference.

[Jon Gjengset @jonhoo]

In January, @anishathalye, @jjgort, and I ran a short class at @MIT_CSAIL on topics we think are missing in most CS programs — tools we use every day that everyone should know, like bash, git, vim, and tmux. And now the lecture notes and videos are online! https://t.co/gCibibBpVL

[Tom Rainforth @tom_rainforth]

I'm delighted to announce that I have just started a new role as the Florence Nightingale Bicentennial Fellow and Tutor in Statistics and Probability at the Department of Statistics here in Oxford. I'm looking forward to growing my research group here over the next 5 years.

[Dino Sejdinovic @sejDino]

PhD opening at @OxCSML on machine learning for climate science https://t.co/TszHpMGLhk. Project is a part of the @iMIRACLI_ITN (https://t.co/SwrPSoLAzk) Marie Curie Innovative Training Network funded by @EU_H2020. Apply at https://t.co/GQwQDX9CAz (deadline Feb 3).

[OxCSML @oxcsml]

@NeurIPSConf meet-up @OxfordStats @oxengsci this week :) we are streaming events from neurips and there is local unconference and talks. Join us! Thanks to organisers @ShehZaidi @bobby_he, sponsors @graphcoreai @_FiveAI ! https://t.co/IAKKB9CPvS @le_roux_nicolas

[PROBPROG 2021 @probprog]

#CallForSubmissions #CallforPapers PROBPROG 2020 is seeking Extended Abstracts & Syndicated Submissions by *Jan 10 2020* for our April 2020 international conference dedicated to probabilistic programming!
https://t.co/gYh9w0Frzs

[Jan-Willem van de Meent @jwvdm]

Please follow @probprog for announcements on the PROBPROG 2020 international conference on probabilistic programming!

[Oxford Statistics @OxfordStats]

Winner! @yeewhye crowned the victor in #MachineLearning 'I'm a Researcher Get Me Out of Here!'.

[Yuan Zhou @yuaanzhou]

@hyang144 🎉

[POPL 2027 @poplconf]

We've got three excellent invited speakers at #POPL2020:

Martin Vechev (ETH)
Cristina Cifuentes (Oracle)
Hongseok Yang (KAIST)

[Arnaud Doucet @ArnaudDoucet1]

JOB VACANCY: Interested in doing a Postdoc in Computational Statistics/Statistical Machine Learning in Oxford with me and Chris Holmes, please apply: https://t.co/yqbUKwmhIF

[OxCSML @oxcsml]

Happy to announce that members of the @oxcsml group @OxfordStats will be presenting 19 papers at NeurIPS this year, many in collaboration with a wide variety of other research groups. Good work everyone! Links to arxiv preprints here:

https://t.co/N5FvticpKZ

[Yuan Zhou @yuaanzhou]

An interesting blog post on comparing different PPSs/PPLs!

[Colin Carroll @colindcarroll]

I implemented multivariate regression in 9(!) different Python probabilistic programming frameworks and gave a short, opinionated blurb about each. Fun to see similarities and differences in API design in this space! https://t.co/bxpAc99S9D

[Yuan Zhou @yuaanzhou]

Great group with great people! #oxcsml

[Yee Whye Teh @yeewhye]

Looking for senior and independent postdocs in comp stats, machine learning, stats methodologies! Check out the research of the @oxcsml group to see if you’d like to joint us :)

[George Ho @_eigenfoo]

New post! What even is a probabilistic programming framework, how are they structured, and how are the popular open source ones organized?
https://t.co/MylTdn5gh0

[StatML CDT @StatMLIO]

PhD applications are now open for the EPSRC CDT in Modern Statistics and Statistical Machine Learning at Imperial and Oxford for October 2020 starts. Apply now! https://t.co/U9kCCAcMPn