TRAC Workshop 2020 - Lightning Talks (Day 1)

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Microsoft Research
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Published on ● Video Link: https://www.youtube.com/watch?v=RU68_v2cduQ


Duration: 40:59
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Trustworthy and Robust AI Collaboration (TRAC) Workshop

Day 1 Lightning Talks:
Tamara Broderick, Massachusetts Institute of Technology
Approximate Cross-Validation for Complex Models
Ankur Moitra, Massachusetts Institute of Technology
Classification under Misspecification, and Implications for Fairness

Maggie Makar, Massachusetts Institute of Technology
Learnability of Contagious Infections Under Incomplete Testing

Kai Jia, Massachusetts Institute of Technology
Exploiting Verified Neural Networks via Floating Point Numerical Error

Lucas Liebenwein, Massachusetts Institute of Technology
Provable Filter Pruning for Efficient Neural Networks

See more at https://www.microsoft.com/en-us/research/video/trac-workshop-2020-lightning-talks-day-1/



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Tags:
TRAC workshop
Trustworthy and Robust AI Collaboration
Microsoft Research
machine learning
reinforcement learning
MIT CSAIL