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Controllable Pareto Front Learning and Applications
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Speaker (s):
Dung D. Le
Assistant Professor
College of Engineering and Computer Science,
VinUniversity
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Date:
Time:
Venue:
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7 December 2023, Thursday
3:00pm – 4:00pm
School of Computing & Information Systems 1 (SCIS 1)
Level 5, Meeting Room 5.1
Singapore Management University
80 Stamford Road, Singapore 178902
We look forward to seeing you at this research seminar.
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About the Talk
In the evolving landscape of optimization and machine learning, the concept of Pareto Front Learning (PFL) has emerged as a pivotal tool for understanding and navigating trade-offs between conflicting objectives. This talk will delve into the details of PFL, a technique that identifies a set of optimal solutions where improving one objective cannot be achieved without worsening at least one other. We will explore the recent advancements and methodologies in this area, with a focus on the controllability aspects of learning the Pareto fronts. Furthermore, we will examine the applications of controllable PFL in diverse domains such as multi-task learning, multi-objective recommendations, and engineering design.
About the Speaker
Dung D. Le is currently an Assistant Professor of Computer Science in the College of Engineering and Computer Science at VinUniversity, where he leads the R2Studio research group on AI-empowered Search and Recommendation. He is also the lab director of Living Lab at VinUniversity Center for Environmental Intelligence (https://cei.vinuni.edu.vn/), which serves as a technology hub for future innovators and facilitates connections among experts from around the world to collectively solve sustainable development issues on a global scale. Previously, he was a senior data scientist in Ads and Personalization team, Grab Holdings Inc. and a research scientist in School of Information Systems, Singapore Management University (SMU). He earned his PhD in Data Science and Engineering from SMU, under the supervision of Associate Professor Hady W. Lauw. In his candidature, he has been recognized with SMU Presidential Doctoral Fellowship Awards and SMU PhD Student Life Awards. Formerly, he earned his Degree of Engineer in Mathematics and Informatics from Hanoi University of Science and Technology, Vietnam in 2014. More details can be found in his website: https://andrew-dungle.github.io/.
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