conftrace_

pareto front

63 papers

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Also known as

PF

Co-occurring keywords

multi-objective optimization (364) evolutionary algorithm (264) runtime analysis (41) bayesian optimization (624) acquisition function (129) population dynamics (22) pareto optimality (78) large language model (13587) genetic algorithm (109) multi-task learning (2575)

Papers

Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning AAAI 2024
Multi-Objective Bayesian Optimization with Active Preference Learning AAAI 2024
Panacea: Pareto Alignment via Preference Adaptation for LLMs NIPS 2024
Runtime Analysis of the SMS-EMOA for Many-Objective Optimization AAAI 2024
A Framework for Data-Driven Explainability in Mathematical Optimization AAAI 2024
The Fairness-Quality Tradeoff in Clustering NIPS 2024
On the Pareto Front of Multilingual Neural Machine Translation NIPS 2023
Runtime Analyses of Multi-Objective Evolutionary Algorithms in the Presence of Noise IJCAI 2023
Distributional Multi-Objective Decision Making IJCAI 2023
What Lies beyond the Pareto Front? A Survey on Decision-Support Methods for Multi-Objective Optimization IJCAI 2023
Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective NIPS 2023
Sample-efficient Multi-objective Molecular Optimization with GFlowNets NIPS 2023
Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement NIPS 2023
Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models ICML 2023
The First Proven Performance Guarantees for the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) on a Combinatorial Optimization Problem IJCAI 2023
Improving Pareto Front Learning via Multi-Sample Hypernetworks AAAI 2023
From Understanding the Population Dynamics of the NSGA-II to the First Proven Lower Bounds AAAI 2023
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
Learning a neural Pareto manifold extractor with constraints UAI 2022
Pareto Set Learning for Expensive Multi-Objective Optimization NIPS 2022
A First Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) AAAI 2022
Multi-Objective Deep Learning with Adaptive Reference Vectors NIPS 2022
Theoretical Analyses of Multi-Objective Evolutionary Algorithms on Multi-Modal Objectives AAAI 2021
A Runtime Analysis of Typical Decomposition Approaches in MOEA/D Framework for Many-objective Optimization Problems IJCAI 2021