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Multi-Objective Optimization

154 papers

Papers per year

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Papers

Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning AAAI 2024
Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization AAAI 2024
Multiobjective Lipschitz Bandits under Lexicographic Ordering AAAI 2024
Reward Penalties on Augmented States for Solving Richly Constrained RL Effectively AAAI 2024
Quantile-Regression-Ensemble: A Deep Learning Algorithm for Downscaling Extreme Precipitation AAAI 2024
Decision-Making for Land Conservation: A Derivative-Free Optimization Framework with Nonlinear Inputs AAAI 2024
Scaling Up Pareto Optimization for Tree Structures with Affine Transformations: Evaluating Hybrid Floating Solar-Hydropower Systems in the Amazon AAAI 2024
Promoting Fair Vaccination Strategies through Influence Maximization: A Case Study on COVID-19 Spread AAAI 2024
FlexiBO: A Decoupled Cost-Aware Multi-objective Optimization Approach for Deep Neural Networks (Abstract Reprint) AAAI 2024
Preference-Aware Constrained Multi-Objective Bayesian Optimization (Student Abstract) AAAI 2024
Several Stories about High-Multiplicity EFx Allocation (Student Abstract) AAAI 2024
Power-Aware Inverse-Search Machine Learning for Low Resource Multi-Objective Unmanned Underwater Vehicle Control (Student Abstract) AAAI 2024
Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization ACL 2024
Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation EMNLP 2024
GDPO: Learning to Directly Align Language Models with Diversity Using GFlowNets EMNLP 2024
Mitigating Open-Vocabulary Caption Hallucinations EMNLP 2024
Survival of the Safest: Towards Secure Prompt Optimization through Interleaved Multi-Objective Evolution EMNLP 2024
Towards Pareto-Efficient RLHF: Paying Attention to a Few High-Reward Samples with Reward Dropout EMNLP 2024
MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization EMNLP 2024
On the Pareto Front of Multilingual Neural Machine Translation NIPS 2023
Adaptive Algorithms for Relaxed Pareto Set Identification NIPS 2023
Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization NIPS 2023
Hypervolume Maximization: A Geometric View of Pareto Set Learning NIPS 2023
Federated Multi-Objective Learning NIPS 2023
Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective NIPS 2023