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Doctoral Research Award. Scalability in Decision-Focused Learning: State of the Art, Challenges, and Beyond

This presentation will explore recent advancements in Decision-Focused Learning (DFL), an emerging approach in artificial intelligence (AI) that integrates machine learning (ML) prediction with combinatorial optimization to train ML models for optimal decision-making. DFL predicts the unknown parameters of combinatorial optimization problems by focusing on the outcomes obtained using these predicted parameters. This presentation will start by providing an overview of various DFL techniques and introduce a taxonomy that categorizes these methods based on their distinct features. It will then highlight the scalability challenge, a major bottleneck for real-world DFL applications. The presentation will summarize existing strategies developed to address this issue and conclude by exploring potential future directions in the field

7760.mp4 7760.mp3

Universitat de Girona. Departament d’Informàtica, Matemàtica Aplicada i Estadística

Altres contribucions: Universitat de Girona. Departament d’Informàtica, Matemàtica Aplicada i Estadística
Autor: Mandi, Jayanta
Data: 3 setembre 2024
Resum: This presentation will explore recent advancements in Decision-Focused Learning (DFL), an emerging approach in artificial intelligence (AI) that integrates machine learning (ML) prediction with combinatorial optimization to train ML models for optimal decision-making. DFL predicts the unknown parameters of combinatorial optimization problems by focusing on the outcomes obtained using these predicted parameters. This presentation will start by providing an overview of various DFL techniques and introduce a taxonomy that categorizes these methods based on their distinct features. It will then highlight the scalability challenge, a major bottleneck for real-world DFL applications. The presentation will summarize existing strategies developed to address this issue and conclude by exploring potential future directions in the field
7760.mp4 7760.mp3
Format: audio/mpeg
video/mp4
Accés al document: http://hdl.handle.net/10256.1/7760
Llenguatge: eng
Editor: Universitat de Girona. Departament d’Informàtica, Matemàtica Aplicada i Estadística
Col·lecció: 30th International Conference on Principles and Practice of Constraint Programming
Drets: Attribution-NonCommercial-ShareAlike 4.0 International
URI Drets: http://creativecommons.org/licenses/by-nc-sa/4.0/
Matèria: Programació per restriccions (Informàtica) -- Congressos
Constraint programming (Computer science) -- Congresses
Aprenentatge automàtic -- Congressos
Machine learning -- Congresses
Decisió, Presa de -- Informàtica -- Congressos
Decision making -- Data processing -- Congresses
Títol: Doctoral Research Award. Scalability in Decision-Focused Learning: State of the Art, Challenges, and Beyond
Tipus: info:eu-repo/semantics/lecture
Repositori: DUGiMedia

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