Efficient Machine Learning and Optimization

Logistics

Date: Friday, May 23rd, 2025

Location: Northwestern University, 3rd floor Mudd library (Room: 3514) 2233 Tech Dr, Evanston, IL 60208.

Parking: For those driving to the workshop, attendees can park in the North Campus garage 2311 N Campus Dr #2300, Evanston, IL 60208. https://maps.northwestern.edu/txt/facility/646 You’ll exit the garage on the opposite side from the car entrance and you’ll see Mudd Library directly in front of you across a grassy lawn area. Take the elevator to your right in the library lobby to the 3rd floor.

Parking passes will be provided at the workshop for free parking in designated NU parking building. Please remember to ask for a pass before leaving the workshop.

Registration: 

Zoom Link: 

YouTube: 

Description:

This workshop will bring together researchers and practitioners to discuss recent advances in energy-efficient machine learning (ML). As ML models grow in scale and complexity, optimizing their energy consumption has become a critical research challenge. Topics will include model compression, quantization, hardware-aware neural architectures, sustainable AI frameworks, and energy-efficient inference techniques. The workshop will feature invited talks and ample time for networking.

 
Schedule: 

TBA

 

 Organizers:

  • Natasha Devroye (UIC)
  • Ermin Wei (Northwestern University)
  • Ren Wang (IIT)
  • Tian Li (University of Chicago)

Abstracts: TBA 

Speaker: 

Title:

Abstract:

 

Parking visual for NU:

 

Join Our Newsletter