The International Conference on Machine Learning (ICML) has selected a paper published by recent OR alum Vishwaraj Doshi (currently working at IQVIA) along with Jie Hu (Electrical Engineering Ph.D. student) and Do-Young Eun (Electrical Engineering professor) as one of the six winners for its 2023 Outstanding Paper Awards. Their paper was from an initial pool of 6,538 submitted to the conference, which accepted 1,827 for the competition. Some quick math tells us that their paper finished in the top 0.1 percent.
The ICML is the top machine learning conference globally, with most authors affiliated with institutions such as Microsoft Research, Google Deepmind, OpenAI and many leading universities worldwide. “It is a special feeling to stand out among the thousands of scholars attending the conference,” shared Doshi. “The selected work being a part of my Ph.D. thesis at NC State also gives immense satisfaction.”
Current probabilistic algorithm research focuses on breaking the barriers set by existing methods to either calculate quantities previously unreachable by traditional algorithms or improve upon existing methods. “The award-winning work is the latter case and opens new avenues of approach in the design of probabilistic algorithms,” said Doshi.
Although the theoretical nature of mathematics makes it hard to judge its impact on society as a whole, Doshi is confident that their work will make a difference. “However, I like to believe that the inherent efficient nature of the algorithm implementations should make them less resource intensive in a world where the energy consumption of ML [machine learning] algorithms is becoming a topic of scrutiny,” explained Doshi.
About ICML
(From the ICML website)
The International Conference on Machine Learning is the premier gathering of professionals dedicated to advancing the branch of artificial intelligence known as machine learning.
ICML is globally renowned for presenting and publishing cutting-edge research on all aspects of machine learning used in closely related areas like artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition and robotics.
ICML is one of the fastest growing artificial intelligence conferences in the world. Participants at ICML span various backgrounds, from academic and industrial researchers to entrepreneurs and engineers to graduate students and postdocs.