Items where Author is "Bergman, David"
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A word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Article
Cappart, Q., Bergman, D., Rousseau, L.-M., Prémont-Schwarz, I., & Parjadis, A. (2022). Improving variable orderings of approximate decision diagrams using reinforcement learning. INFORMS Journal on Computing, 34(5), 2552-2570. External link
Bergman, D., Huang, T., Brooks, P., Lodi, A., & Raghunathan, A. U. (2021). JANOS: An Integrated Predictive and Prescriptive Modeling Framework. INFORMS Journal on Computing, 34(2), 807-816. External link
Paper
Parjadis, A., Cappart, Q., Rousseau, L.-M., & Bergman, D. (2021, July). Improving Branch-and-Bound Using Decision Diagrams and Reinforcement Learning [Paper]. 18th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2021), Vienna, Austria. External link
Cappart, Q., Goutierre, E., Bergman, D., & Rousseau, L.-M. (2019, January). Improving optimization bounds using machine learning: Decision diagrams meet deep reinforcement learning [Paper]. Association for the Advancement of Artificial Intelligence (AAAI 2019), Honolulu, HI. External link
Master's thesis
Sylvestre-Décary, J. (2020). A Neural Network-Embedded Optimization Approach for Selecting Multiple Entries for March Madness [Master's thesis, Polytechnique Montréal]. Available