Theory of Deep Learning Conference

Theory of Deep Learning Conference

Duke TRIPODS

  • Live Q&A session
  • Live Talks
  • Recorded Talks
  • Organizers

Category: Live Talks

Monday, 1:30–2 p.m. | Plug-n-Play Method: Deep-Learning-Optimization Image Processing

  • Filed under Live Talks

Wotao Yin, UCLA

Monday, 2–2:30 p.m. | Near-Optimal Algorithms for Minimax Optimization

  • Filed under Live Talks

Chi Jin, Princeton University

Tuesday, 1:30–2 p.m. | Convex formulation of Overparameterized Deep Neural Networks

  • Filed under Live Talks

Cong Fang, Princeton University

Tuesday, 2–2:30 p.m. | Critical points of the loss function

  • Filed under Live Talks

Yaim Cooper, Institute for Advanced Study

Duke TRIPODS

Duke TRIPODS was established in 2019 with a grant from the National Science Foundation to further our understanding of foundational principles in data science and to identify opportunities for innovation. Since then, as many as 25 faculty members – as well as graduate students and postdoctoral fellows – are working across disciplines to develop new tools and methods and to create dialogues in data science throughout North Carolina’s “Research Triangle.”

Project collaborators represent Duke departments including Computer Science, Electrical and Computer Engineering, Mathematics, and Statistical Science, and the team anticipates forging additional partnerships through engagement with the Rhodes Information Initiative at Duke and the regional Statistical and Mathematical Sciences Institute (SAMSI).

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