pareto front

The First Theoretical Approximation Guarantees for the Non-Dominated Sorting Genetic Algorithm III (NSGA-III) IJCAI 2025 Tight Runtime Guarantees From Understanding the Population Dynamics of the GSEMO Multi-Objective Evolutionary Algorithm IJCAI 2025 Trading Off Quality and Uncertainty Through Multi-Objective Optimisation in Batch Bayesian Optimisation AAAI 2025 Unlocking Decoding-time Controllability: Gradient-Free Multi-Objective Alignment with Contrastive Prompts NAACL 2025 Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning ICML 2025 A Framework for Data-Driven Explainability in Mathematical Optimization AAAI 2024 Balancing Computational Cost and Accuracy in Inference of Continuous Bayesian Networks PGM 2024 Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty AISTATS 2024 Fairness-Aware Meta-Learning via Nash Bargaining NeurIPS 2024 How to Use the Metropolis Algorithm for Multi-Objective Optimization? AAAI 2024 Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning AAAI 2024 Multi-Objective Bayesian Optimization with Active Preference Learning AAAI 2024 Negatively Correlated Ensemble Reinforcement Learning for Online Diverse Game Level Generation ICLR 2024 Order-Preserving GFlowNets ICLR 2024 Panacea: Pareto Alignment via Preference Adaptation for LLMs NeurIPS 2024 Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization AAAI 2024 Runtime Analysis of the SMS-EMOA for Many-Objective Optimization AAAI 2024 Sequential learning of the Pareto front for multi-objective bandits AISTATS 2024 The Fairness-Quality Tradeoff in Clustering NeurIPS 2024 Towards Running Time Analysis of Interactive Multi-Objective Evolutionary Algorithms AAAI 2024 A Generalized Scalarization Method for Evolutionary Multi-Objective Optimization AAAI 2023 A Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm III (NSGA-III) IJCAI 2023 Distributional Multi-Objective Decision Making IJCAI 2023 From Understanding the Population Dynamics of the NSGA-II to the First Proven Lower Bounds AAAI 2023 Improving Pareto Front Learning via Multi-Sample Hypernetworks AAAI 2023