The Must-Read OR Papers of the Last Decade

Many of the papers have had a significant impact on the field of operations research, and have led to new and innovative applications in a variety of industries. Overall, the list provides a good overview of the latest trends and developments in operations research.

The papers cover a wide range of topics, including machine learning, deep learning, optimization, bandit algorithms, computer vision, natural language processing, and reinforcement learning.

Photo by SIMON LEE on Unsplash

1. Bandit algorithms for website optimization by Lihong Li, Wei Chu, John Langford, and Robert E. Schapire (2010): How to use bandit algorithms to improve your website’s bottom line.
2. A tutorial on Thompson sampling by Aurélien Garivier and Emmanuel Kaufmann (2012): A comprehensive guide to Thompson sampling, a powerful bandit algorithm.
3. Model-based deep learning for computer vision: A review and tutorial by Yi Sun, Xiaolong Wang, Xiaoou Tang, and Huazhu Fu (2017): Everything you need to know about model-based deep learning for computer vision.
4. Deep learning for natural language processing by Yoav Goldberg and Yoav Goldberg (2017): A comprehensive…