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pareto optimal

58 papers

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Co-occurring keywords

multi-objective optimization (364) pareto optimality (78) pareto optimization (78) multi-task learning (2575) fair division (158) approximation algorithm (630) indivisible good (46) multi-agent system (1819) regret bound (1926) multi-armed bandit (1098)

Papers

Parametric Pareto Set Learning for Expensive Multi-Objective Optimization AAAI 2026
From Parameter to Representation: A Closed-Form Approach for Controllable Model Merging AAAI 2026
KV Pareto: Systems-Level Optimization of KV Cache and Model Compression for Long Context Inference EACL 2026
Deeper Treatment of the Bi-objective Search Framework AAAI 2026
Fairness in Repeated Matching: A Maximin Perspective AAAI 2026
Position Fair Mechanisms Allocating Indivisible Goods AAAI 2026
Rethinking Real Image Editing: Unleashing Diverse Editing Operators via Multi-Objective Optimization WACV 2026
Picking a Representative Set of Solutions in Multiobjective Optimization: Axioms, Algorithms, and Experiments AAAI 2026
VORTEX: Aligning Task Utility and Human Preferences Through LLM-Guided Reward Shaping AAAI 2026
Optimize Battery Control: A Multi-Objective Evolutionary Ensemble Reinforcement Learning Approach IJCAI 2025
Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off AAAI 2025
EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models ACL 2025
ProST: Progressive Sub-task Training for Pareto-Optimal Multi-agent Systems Using Small Language Models IJCNLP 2025
Constrained Fair and Efficient Allocations AAAI 2025
GPU-Accelerated Parallel Bilevel Optimization for Roubst 6G ISAC AAAI 2025
Bandit Pareto Set Identification: the Fixed Budget Setting AISTATS 2024
FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning NIPS 2024
Overcoming Brittleness in Pareto-Optimal Learning Augmented Algorithms NIPS 2024
Approximately Pareto-optimal Solutions for Bi-Objective k-Clustering NIPS 2024
FlexiBO: A Decoupled Cost-Aware Multi-objective Optimization Approach for Deep Neural Networks (Abstract Reprint) AAAI 2024
Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium NIPS 2024
Quantifying Task Priority for Multi-Task Optimization CVPR 2024
Adaptive Algorithms for Relaxed Pareto Set Identification NIPS 2023
DUCK: A Drone-Urban Cyber-Defense Framework Based on Pareto-Optimal Deontic Logic Agents AAAI 2023
Multi-Objective GFlowNets ICML 2023