Connectionists: Virtual Symposium on Reproducibility in Machine Learning

[Sameer Singh]

UCI Symposium on Reproducibility in Machine Learning
*June 10th, 2020*, 9am to 1pm Pacific Time

Registration: https://forms.gle/rBbvVKQr1rRPDGxe9
Program details: https://uci-ml-repo.github.io/events/reprod-symposium20/
Stream link available after registration

Please join us online for a half-day symposium on the topic of
reproducibility in machine learning.
The event will consist of 4 invited talks plus a panel discussion from
thought-leaders in this area:

- Kyle Cranmer <http://theoryandpractice.org/> (NYU): Reusable workflows,
active learning, and simulation-based inference
- Percy Liang <https://cs.stanford.edu/~pliang/> (Stanford): CodaLab: a
platform for efficient collaborative research
- Victoria Stodden <http://stodden.net/> (UIUC): Reproducibility matters
even if models can discriminate perfectly between chihuahuas and blueberry
muffins
- Joaquin Vanschoren <https://joaquinvanschoren.github.io/> (Eindhoven
University of Technology): Sharing and reproducing machine learning
experiments with OpenML

Organizers:
Sameer Singh and Padhraic Smyth, UCI

-- 
Sameer Singh
Assistant Professor, Computer Science
University of California, Irvine
http://sameersingh.org/
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