Special Sessions

At the moment the following special sessions have been confirmed:

Requests for organizing additional special sessions can be made until Nov. 1, 2023 by contacting Martin Golumbic <golumbic@gmail.com>.

Boolean and pseudo-Boolean Functions

Organizers: Endre Boros and Yves Crama

Boolean and pseudo-Boolean functions are pervasive today in all areas of mathematics, computer science, operations research, various sciences and engineering. An ever increasing number and areas of applications demand new results from both structural and algorithmic points of views. The special sessions aim at bringing together researchers from all walks of science to discuss the latest results and the most important open problems.

Alternative Models for Fairness in AI

Organizers: John Hooker, Tae Wan Kim, and Derek Leben

Fairness in AI has become a topic of intense discussion and is likely to continue to grow in importance as AI permeates society. The aim of this track is to assemble talks on a wide range of fairness models that are potentially relevant to AI, including models that go beyond the standard statistical parity metrics and may be unfamiliar to the AI community. Topics will include optimization models for fairness, axiomatic and bargaining derivations of social welfare functions, logic-based models for ethical obligation, and game-theoretic approaches.

Deep Reinforcement Learning: Bridging Theory and Practice

Organizers: Abhishek Gupta and Zhaoran Wang

Dedicated website for the workshop: Hosted at GitHub (here)

Deep Reinforcement Learning (DRL) is at the forefront of AI research, driving advancements in areas from robotics to finance. While the potential of DRL is vast, there are inherent challenges that need to be addressed, both in theory and in practice. This workshop aims to provide participants with a comprehensive understanding of these challenges, backed by hands-on experiences and in-depth discussions. The workshop will promote an understanding and appreciation of the latest advancements in DRL by emphasizing the connection between theoretical foundations and practical implementations, and will address the existing challenges facing the field. Topics include Sample Efficiency, Exploration vs. Exploitation, Transfer Learning, Stability and Convergence, as well as Real-world Application Barriers.

Contributed Presentations

Organizer: Martin Golumbic

In addition to the ISAIM-2024 regular track and special sessions, we are organizing a track for contributed talks in the style of the Joint Mathematics Meetings (JMM/AMS). Presentations should be on new research. One-page abstracts will be published on the ISAIM website. The ISAIM electronic proceedings for the regular track and the special sessions are not archival.