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Yingying Yu

2 accepted papers

2024

LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch

NeurIPS 2024poster

Multiobjective optimization problems (MOPs) are prevalent in machine learning, with applications in multi-task learning, learning under fairness or robustness constraints, etc. Instead of reducing multiple objective functions into a scalar objective, MOPs aim to optimize for the so-called Pareto opt…