Multi-Objective Optimization

The (Exact) Price of Cardinality for Indivisible Goods: A Parametric Perspective AAAI 2025 Trading Off Quality and Uncertainty Through Multi-Objective Optimisation in Batch Bayesian Optimisation AAAI 2025 Understanding EFX Allocations: Counting and Variants AAAI 2025 An Analytical Study of Utility Functions in Multi-Objective Reinforcement Learning NeurIPS 2024 Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization AAAI 2024 A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems NeurIPS 2024 Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime NeurIPS 2024 Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization ACL 2024 CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework NeurIPS 2024 Decision-Making for Land Conservation: A Derivative-Free Optimization Framework with Nonlinear Inputs AAAI 2024 Decoding-Time Language Model Alignment with Multiple Objectives NeurIPS 2024 Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation EMNLP 2024 End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty UAI 2024 Fair and Welfare-Efficient Constrained Multi-Matchings under Uncertainty NeurIPS 2024 FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning AAAI 2024 FlexiBO: A Decoupled Cost-Aware Multi-objective Optimization Approach for Deep Neural Networks (Abstract Reprint) AAAI 2024 GDPO: Learning to Directly Align Language Models with Diversity Using GFlowNets EMNLP 2024 Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization NeurIPS 2024 HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models NeurIPS 2024 Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning AAAI 2024 Learning the Optimal Policy for Balancing Short-Term and Long-Term Rewards NeurIPS 2024 Long-Tailed Learning as Multi-Objective Optimization AAAI 2024 Mitigating Open-Vocabulary Caption Hallucinations EMNLP 2024 MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization EMNLP 2024 Multi-objective Counterfactuals in Bayesian Classifiers with Estimation of Distribution Algorithms PGM 2024