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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