You are cordially invited to my PhD thesis defense on Friday, Nov 14th. 

Title: New Directions in Multi-Objective Optimization with Applications
Date: Friday, Nov 14th

Time: 8:30 AM - 10:30 AM
Location: Klaus Advanced Computing Building (KACB), Room 2108

Zoom Link: https://gatech.zoom.us/j/95280299142

Jai Moondra,
PhD Student,
Algorithms Combinatorics and Optimization,
School of Computer Science,
Georgia Tech

Committee:    

• Dr. Swati Gupta (Advisor), Sloan School of Management, Massachusetts Institute of Technology

• Dr. Mohit Singh (Advisor), H. Milton Stewart School of Industrial and Systems Engineering, Georgia Tech

• Dr. Santosh Vempala, School of Computer Science, Georgia Tech

• Dr. Milind Tambe, School of Engineering and Applied Sciences, Harvard University 

• Dr. Sahil Singla, School of Computer Science, Georgia Tech

Reader: 

Dr. Sahil Singla, School of Computer Science, Georgia Tech

Abstract:
We introduce the portfolio framework for optimization with multiple objectives. A portfolio is a small set of solutions that approximately optimizes every objective under consideration. This approach recognizes the inherent plurality of objectives and provides a structured way to navigate competing goals. Instead of insisting on a single best solution, portfolios offer a small number of high-quality solutions that together span the space of possible preferences. This thesis discusses the theoretical foundations, algorithmic techniques, and practical applications of this framework across various problems in machine learning and combinatorial optimization.