Machine Learning for Algorithms Workshop (July 13-14)

We're having an online workshop on "Machine Learning for Algorithms" on July 13-14, with a great group of speakers.  Announcement below, link at https://fodsi.us/ml4a.html, free registration (but please register in advance)!

In recent years there has been increasing interest in using machine learning to improve the performance of classical algorithms in computer science, by fine-tuning their behavior to adapt to the properties of the input distribution. This "data-driven" or "learning-based" approach to algorithm design has the potential to significantly improve the efficiency of some of the most widely used algorithms. For example, they have been used to design better data structures, online algorithms, streaming and sketching algorithms, market mechanisms and algorithms for combinatorial optimization, similarity search and inverse problems.  This virtual workshop will feature talks from experts at the forefront of this exciting area.

The workshop is organized by Foundations of Data Science Institute (FODSI), a project supported by the NSF TRIPODS program (see fodsi.us). To attend, please register at    
 
https://fodsi.us/ml4a.html