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(6 events)   Timezone:  
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Oral
Tue Dec 07 12:00 AM -- 12:15 AM (PST)
Framing RNN as a kernel method: A neural ODE approach
In Oral Session 1: Deep Learning Theory and Causality
Adeline Fermanian · Pierre Marion · Jean-Philippe Vert · Gérard Biau
Q&A
Tue Dec 07 12:15 AM -- 12:20 AM (PST)
Q&A
In Oral Session 1: Deep Learning Theory and Causality
Oral
Tue Dec 07 12:20 AM -- 12:35 AM (PST)
A Universal Law of Robustness via Isoperimetry
In Oral Session 1: Deep Learning Theory and Causality
Sebastien Bubeck · Mark Sellke
Q&A
Tue Dec 07 12:35 AM -- 12:40 AM (PST)
Q&A
In Oral Session 1: Deep Learning Theory and Causality
Oral
Tue Dec 07 12:40 AM -- 12:55 AM (PST)
Causal Identification with Matrix Equations
In Oral Session 1: Deep Learning Theory and Causality
Sanghack Lee · Elias Bareinboim
Q&A
Tue Dec 07 12:55 AM -- 01:00 AM (PST)
Q&A
In Oral Session 1: Deep Learning Theory and Causality