Optimal Transport and Machine Learning

NeurIPS 2021 Workshop - 13 December 2021

Join us for the fourth edition of the Virtual OTML Workshop @ NeurIPS!

Over the last few years, optimal transport (OT) has quickly become a central topic in machine learning. OT is now routinely used in many areas of ML, ranging from the theoretical use of OT flow for controlling learning algorithms to the inference of high-dimensional cell trajectories in genomics. The OTML workshop series (in ’14, ’17, ’19) has been instrumental in shaping this research thread. For this new installment of OTML, we aim even bigger by hosting an exceptional keynote speaker, Alessio Figalli, who received the 2018 Fields Medal for his breakthroughs in the analysis of the regularity properties of OT. OTML will be a unique opportunity for cross-fertilization between recent advances in pure mathematics and challenging high-dimensional learning problems.

The format of the workshop will encourage discussion and presentation of contributed content in addition to our lineup of invited talks.

Invited Speakers

Plenary Speakers
Keynote Talks


Best paper awards
Runner up award

Past Editions


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