Fall 2021

Joint IFML/CCSI Symposium

Nov 2, 2021 to Nov 5, 2021 

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Adam Klivans (University of Texas, Austin), Jerry Li (Microsoft Research), Tselil Schramm (Stanford University)

Members of the new NSF AI Institute for Foundations of Machine Learning (IFML) will spend a week in residence at the Simons Institute as part of the fall program on Computational Complexity of Statistical Inference. The week will feature talks from both Simons and IFML participants on topics of mutual interest including algorithms, deep learning, robustness, reinforcement learning, and applications in core perceptual tasks such as vision and navigation.

Please read on for important information regarding logistics for those planning to attend this invitation-only event in-person at Calvin Lab.

Proof of Vaccination
Given current public health directives from state, local, and university authorities, all participants in Simons Institute events must be prepared to demonstrate proof of full vaccination: a vaccination card or photo of the card along with a valid photo ID, or a green Campus Access Badge via the UC Berkeley Mobile app (additional details regarding proof of vaccination can be found here).

Masks are required indoors for all participants regardless of vaccination status.

Light refreshments will be provided before the workshop, as well as during breaks. Please note due to current health conditions, we will set up just outside the building. There will be signs set up to direct you. Please note there is no food or drink allowed in the auditorium. Thank you for helping us to keep the auditorium clean.