Computational Challenges in Machine Learning

Workshop | May 1 – 5, 2017 every day |  Calvin Laboratory (Simons Institute for the Theory of Computing)

 Simons Institute for the Theory of Computing

The aim of this workshop will be to bring together a broad set of researchers looking at algorithmic questions that arise in machine learning. The primary target areas will be large-­scale learning and algorithms for Bayesian estimation.

Santosh Vempala (Georgia Institute of Technology; chair), David Blei (Columbia University), Katherine Heller (Duke University), John Langford (Microsoft Research), Le Song (Georgia Institute of Technology).

  Register online, 510-664-9856