NeurIPS 2025 "multi-objective optimization" Papers
5 papers found
Bayesian Optimization with Preference Exploration using a Monotonic Neural Network Ensemble
Hanyang Wang, Juergen Branke, Matthias Poloczek
NeurIPS 2025posterarXiv:2501.18792
Continual Model Merging without Data: Dual Projections for Balancing Stability and Plasticity
Enneng Yang, Anke Tang, Li Shen et al.
NeurIPS 2025poster
Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization
Natalie Maus, Kyurae Kim, Yimeng Zeng et al.
NeurIPS 2025posterarXiv:2501.19342
HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models
Yu Zhou, Xingyu Wu, Jibin Wu et al.
NeurIPS 2025spotlightarXiv:2409.18893
6
citations
MetaBox-v2: A Unified Benchmark Platform for Meta-Black-Box Optimization
Zeyuan Ma, Yue-Jiao Gong, Hongshu Guo et al.
NeurIPS 2025posterarXiv:2505.17745
5
citations