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Multi-Objective Optimization

125 papers

Papers per year

12
22
'20
'25

Papers

Boundary Decomposition for Nadir Objective Vector Estimation NIPS 2024
Fairness-Aware Estimation of Graphical Models NIPS 2024
Global Rewards in Restless Multi-Armed Bandits NIPS 2024
MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models NIPS 2024
Optimal Scalarizations for Sublinear Hypervolume Regret NIPS 2024
On Weak Regret Analysis for Dueling Bandits NIPS 2024
Panacea: Pareto Alignment via Preference Adaptation for LLMs NIPS 2024
An Analytical Study of Utility Functions in Multi-Objective Reinforcement Learning NIPS 2024
Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization AAAI 2024
FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning AAAI 2024
Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits AAAI 2024
Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning AAAI 2024
PA2D-MORL: Pareto Ascent Directional Decomposition Based Multi-Objective Reinforcement Learning AAAI 2024
Multi-Objective Bayesian Optimization with Active Preference Learning AAAI 2024
Towards Running Time Analysis of Interactive Multi-Objective Evolutionary Algorithms AAAI 2024
Runtime Analysis of the SMS-EMOA for Many-Objective Optimization AAAI 2024
How to Use the Metropolis Algorithm for Multi-Objective Optimization? AAAI 2024
Scaling Up Pareto Optimization for Tree Structures with Affine Transformations: Evaluating Hybrid Floating Solar-Hydropower Systems in the Amazon AAAI 2024
MODABS: Multi-Objective Learning for Dynamic Aspect-Based Summarization ACL 2024
Pessimistic Off-Policy Multi-Objective Optimization AISTATS 2024
Learning the Pareto Set Under Incomplete Preferences: Pure Exploration in Vector Bandits AISTATS 2024
Sequential learning of the Pareto front for multi-objective bandits AISTATS 2024
Multi-objective Optimization via Wasserstein-Fisher-Rao Gradient Flow AISTATS 2024
Towards Pareto-Efficient RLHF: Paying Attention to a Few High-Reward Samples with Reward Dropout EMNLP 2024
Feedback-Based Adaptive Crossover-Rate in Evolutionary Computation IJCAI 2024