Tips on Submitting Papers to ML/AI Conferences

Xinran Wang recently received a Master’s degree in Statistics with a minor in Computer Science from the University of Minnesota. Before this master’s program, she worked as a Headquarter Management Trainee at an international bank. She holds a Master’s and a Bachelor’s degree in Economics from Tsinghua University in China. She was a research fellow at Harvard in 2015.
Xinran has broad research interests in machine learning. She has been actively researching several projects since her graduate study at UMN. Two of her recent papers were accepted to top AI/machine learning conferences, NeurIPS 2020 and ICLR 2021. Both were selected as spotlight presentations, ranked in the top 4.1% and 5.6% among all submissions, respectively. Her research was inspired by emerging business opportunities on machine-learning-as-a-service (MLaaS) and distributed cloud computing. The results can be applied to privacy-preserving machine learning.

Agenda:
(1) How was my paper initialized and developed: Topic, Collaboration
(2) Which conference to submit: Introduction of major ML/AI conferences
(3) What does the process look like: My experience at NeurIPS 2020 and ICLR 2021
(4) Summary and Thoughts