March 23-24 2022

Sys/ML Workshop
Sponsored by UT Austin MLL

GDC Building, UT Austin (main campus)

This workshop will explore emerging research problems and opportunities at the exciting intersection between computer systems and machine learning. We will consider how to rethink the design of computer systems from the ground up to enable principled ML-driven optimization, and explore new theoretical ML questions that must be addressed to ensure that systems offer the desired performance, robustness, and safety in practice. Alongside, we will discuss new ideas in the design of systems to support advancements in large-scale learning problems. This Sys/ML workshop will bring together academics from UT Austin and beyond, as well as ML practitioners from the industry, to chart a research agenda for "systems + ML research" with an emphasis on real-world deployability.