The 2019 USENIX Conference on Operational Machine Learning (OpML '19) provides a forum for both researchers and industry practitioners to develop and bring impactful research advances and cutting edge solutions to the pervasive challenges of ML production lifecycle management. ML production lifecycle is a necessity for wide-scale adoption and deployment of machine learning and deep learning across industries and for businesses to benefit from the core ML algorithms and research advances.
USENIX Conference Policies
We encourage you to learn more about USENIX’s values and how we put them into practice at our conferences.
Conference Accessibility Services
For information about childcare, mothers' room access, and ADA accommodations, please see the USENIX Conference Accessibility Services page.
Refunds and Cancellations
The registration cancellation deadline is Friday, May 10, 2019. Please review the USENIX Registration Substitution and Cancellation Policy for more information.
Hyatt Regency Santa Clara
5101 Great America Parkway
Santa Clara, CA 95054
Hotel Reservation Deadline: Monday, April 29, 2019
Hotel Discount Deadline Extended! Book your room by Monday, May 6, 2019 and save!
USENIX has negotiated a special room rate of $259 per night plus tax for single/double occupancy for conference attendees. To receive this special rate, book your room online or call the hotel directly and mention USENIX or OpML '19. The group rate will be available until Monday, May 6, 2019, or until the block sells out, whichever occurs first.
After the hotel discount deadline has passed, contact the hotel directly to inquire whether rooms are still available.
Become a Sponsor
Sponsorship exposes your brand to highly qualified attendees, funds our diversity and student grants, supports open access to our conference content, and keeps USENIX conferences affordable. USENIX is a 501(c)(3) non-profit organization that relies on sponsor support to fulfill its mission. To learn more, please contact the Sponsorship Department with the conference name in your subject line, or call +1 510.528.8649.