preference vector
Sample-efficient Multi-objective Molecular Optimization with GFlowNets
In practice, multiple conflicting objectives and costly evaluations (e.g., wet-lab experiments) make the diversity of candidates
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- Information Technology > Artificial Intelligence > Representation & Reasoning > Optimization (1.00)
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Pareto Multi-Task Learning
Xi Lin, Hui-Ling Zhen, Zhenhua Li, Qing-Fu Zhang, Sam Kwong
Theproposed algorithm first formulates a multi-task learning problem as a multiobjective optimization problem, and then decomposes the multiobjective optimization problem into a set of constrained subproblems with different trade-off preferences.
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ProfilingParetoFrontWithMulti-Objective SteinVariationalGradientDescent
Moreover, our methods aretheoretically guaranteed toconvergetothePareto front.
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- Asia > Middle East > Israel > Tel Aviv District > Tel Aviv (0.04)
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Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback
The goal is to efficiently compute a near-optimal policy for a given user.
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- Asia > Middle East > Israel > Tel Aviv District > Tel Aviv (0.04)
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