Towards Provable Bounds for Machine Learning – Lecture 1

  • Sanjeev Arora | Princeton University
Speaker Details

Sanjeev Arora received his PhD from UC Berkeley in 1994, and since then has been a faculty member at the Computer Science department at Princeton University. His research interests include complexity theory (especially probabilistically checkable proofs), computing approximate solutions to NP-hard problems, and geometric embeddings of finite metric spaces.

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