Overview

The ML Systems Workshop will be held as part of ICML in NYC on June 24, 2016, 8:30am

Location
Microsoft Technology Center 
(11 Times Square, 8th avenue between 41st and 42nd streets )
Room Central Park on 6th Floor
Entrance at the intersection of 8th avenue and 41st street
Phone: 212-245-2100

2 blocks from the Marriot Marquis Hotel, (between 41st and 42nd streets on 8th Avenue)

Overview

This workshop is a follow up to the ICML audience of the well attended Learning Systems workshop at NIPS 2015 and the Software Engineering for Machine Learning workshop at NIPS 2013. 

A new area is emerging at the intersection of machine learning (ML) and systems design. This birth is driven by the explosive growth of diverse applications of ML in production, the continued growth in data volume, and the complexity of large-scale learning systems. The goal of this workshop is to bring together experts working at the crossroads of ML, system design and software engineering to explore the challenges faced when building practical large-scale machine learning systems. In particular, we aim to elicit new connections among these diverse fields, identify tools, best practices and design principles. The workshop will cover ML and AI platforms and algorithm toolkits (Caffe, Tensor Flow, Torch etc), as well as dive into Machine learning focused developments in distributed learning platforms, programming languages, data structures and general purpose GPU programming.

The workshop will have a mix of invited speakers and reviewed papers to facilitate the flow of new ideas as well as best practices which can benefit those looking to implement large ML systems in academia or industry.