"multi-objective optimization" Papers

21 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

Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization

Xi Lin, Yilu Liu, Xiaoyuan Zhang et al.

ICLR 2025posterarXiv:2405.19650
9
citations

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

MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework

Ping Guo, Cheng Gong, Fei Liu et al.

CVPR 2025posterarXiv:2501.07251

A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design

Zhihai Wang, Jie Wang, Dongsheng Zuo et al.

ICML 2024poster

Efficient Pareto Manifold Learning with Low-Rank Structure

Weiyu CHEN, James Kwok

ICML 2024spotlight

Embarrassingly Parallel GFlowNets

Tiago Silva, Luiz Carvalho, Amauri Souza et al.

ICML 2024poster

Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization

Nayeong Kim, Juwon Kang, Sungsoo Ahn et al.

ICML 2024poster

Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning

Joseph Giovanelli, Alexander Tornede, Tanja Tornede et al.

AAAI 2024paperarXiv:2309.03581

Long-Tailed Learning as Multi-Objective Optimization

Weiqi Li, Fan Lyu, Fanhua Shang et al.

AAAI 2024paperarXiv:2310.20490
5
citations

Multi-Objective Bayesian Optimization with Active Preference Learning

Ryota Ozaki, Kazuki Ishikawa, Youhei Kanzaki et al.

AAAI 2024paperarXiv:2311.13460
14
citations

Offline Multi-Objective Optimization

Ke Xue, Rong-Xi Tan, Xiaobin Huang et al.

ICML 2024poster

Optimizing Watermarks for Large Language Models

Bram Wouters

ICML 2024poster

Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization

Alaleh Ahmadianshalchi, Syrine Belakaria, Janardhan Rao Doppa

AAAI 2024paperarXiv:2406.08799
9
citations

Privacy Preserving Adaptive Experiment Design

Jiachun Li, Kaining Shi, David Simchi-Levi

ICML 2024poster

Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization

Hao Wang, Kaifeng Yang, Michael Affenzeller

ICML 2024poster

Smooth Tchebycheff Scalarization for Multi-Objective Optimization

Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang et al.

ICML 2024poster

Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models

Mingjia Huo, Sai Ashish Somayajula, Youwei Liang et al.

ICML 2024poster

Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning

Zhe Zhao, Pengkun Wang, HaiBin Wen et al.

ICML 2024poster