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← Optimization
Mathematics & Optimization
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Optimization
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Multi-Objective Optimization
122 directly classified papers
Papers per year
2006: 1
2012: 1
2013: 2
2014: 1
2016: 2
2017: 2
2018: 3
2019: 12
2020: 12
2021: 9
2022: 13
2023: 17
2024: 25
2025: 22
Papers
MODABS: Multi-Objective Learning for Dynamic Aspect-Based Summarization
ACL 2024
Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization
AAAI 2024
Multi-Objective Bayesian Optimization with Active Preference Learning
AAAI 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
Towards Running Time Analysis of Interactive Multi-Objective Evolutionary Algorithms
AAAI 2024
MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models
NIPS 2024
An Analytical Study of Utility Functions in Multi-Objective Reinforcement Learning
NIPS 2024
Panacea: Pareto Alignment via Preference Adaptation for LLMs
NIPS 2024
Runtime Analysis of the SMS-EMOA for Many-Objective Optimization
AAAI 2024
Global Rewards in Restless Multi-Armed Bandits
NIPS 2024
PA2D-MORL: Pareto Ascent Directional Decomposition Based Multi-Objective Reinforcement Learning
AAAI 2024
Fairness-Aware Estimation of Graphical Models
NIPS 2024
Scaling Up Pareto Optimization for Tree Structures with Affine Transformations: Evaluating Hybrid Floating Solar-Hydropower Systems in the Amazon
AAAI 2024
Boundary Decomposition for Nadir Objective Vector Estimation
NIPS 2024
Optimal Scalarizations for Sublinear Hypervolume Regret
NIPS 2024
FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning
AAAI 2024
How to Use the Metropolis Algorithm for Multi-Objective Optimization?
AAAI 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
Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning
AAAI 2024
Multi-objective Optimization via Wasserstein-Fisher-Rao Gradient Flow
AISTATS 2024
{PF}$^2$ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization
AISTATS 2023
InstOptima: Evolutionary Multi-objective Instruction Optimization via Large Language Model-based Instruction Operators
EMNLP 2023
Vector Optimization with Stochastic Bandit Feedback
AISTATS 2023
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