otmlworkshop.github.io - Optimal Transport and Machine Learning 2023

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Workshop at Neural Information Processing Systems (NeurIPS) 2023

Over the last decade, optimal transport (OT) has evolved from a prize-winning research area in pure mathematics to a recurring theme bursting across many areas of machine learning (ML). Advancements in OT theory, computation, and statistics have fueled breakthroughs in a wide range of applications, from single-cell genomics to generative modeling and the optimization of over-parametrized neural nets , among many others. The OTML workshop series (in '14,~'17,~'19, and '21) has been instrumental in shaping th

We invite researcher in optimal transport and machine learning to submit their latest works to our workshop. Extended deadline for submissions is October 3rd, 2023 AoE Topics include but are not limited to (see Call for Papers for more details):

Links to otmlworkshop.github.io (3)

• bunne.ch Charlotte Bunne
• akorba.github.io Anna Korba
• aniket1998.github.io Aniket Das | Google DeepMind