DEC 20 - Thank you all for making the event a grand success! Please find some photos of the event here.
DEC 13 - "On PAC Learning Halfspaces in Non-interactive Local Privacy Model with Public Unlabeled Data", Jinyan Su (MBZUAI); Jinhui Xu (SUNY Buffalo); Di Wang (KAUST) wins the Best Paper award. Congratulations!
DEC 13 - "Sliced Wasserstein Variational Inference", Mingxuan Yi and Song Liu (University of Bristol) wins the Best Student Paper award. Congratulations!
NOV 25 - Conference program is updated here.
OCT 31 - The call for Student Scholarship and Mentorship Program is out. Kindly apply before 7th November. More details here.
OCT 11 - The list of accepted papers is published here.
OCT 6 - The list of associated workshops at ACML is available. here.
OCT 6 - The following set of tutorials would be preseted at ACML.
OCT 3 - Deadline for OAMLS application is updated to 10 October, 2022. Please visit here for the update.
SEP 22 - Camera-ready submission date is updated to 6 October, 2022.
SEP 8 - Acceptance notification date is updated to 15 September, 2022. Please visit here for the update.
AUG 19 - We would be featuring an amazing set of researchers ar ACML. Please find more details in the Invited Speakers page.
AUG 4 - We invite proposals for workshops to be held as part of ACML.
JUL 18 - Call for Tutorials is online here.
APR 21 - OAMLS, our annual online Machine Learning summer school details are available here.
APR 11 - Would you like to be a sponsor for ACML? Please find more details on the Sponsorship page.
MAR 28 - Call for papers is available here.