multi-objective optimization

Runtime Analysis for Multi-Objective Evolutionary Algorithms in Unbounded Integer Spaces AAAI 2025 Scalable Speed-ups for the SMS-EMOA from a Simple Aging Strategy IJCAI 2025 Speeding Up the NSGA-II with a Simple Tie-Breaking Rule AAAI 2025 STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning UAI 2025 Stochastic Gradient Descent for Bézier Simplex Representation of Pareto Set in Multi-Objective Optimization AISTATS 2025 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 UniCBE: An Uniformity-driven Comparing Based Evaluation Framework with Unified Multi-Objective Optimization ICLR 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 YinYang-Align: A new Benchmark for Competing Objectives and Introducing Multi-Objective Preference based Text-to-Image Alignment ACL 2025 Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning ICLR 2024 All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation NeurIPS 2024 A Parameter-Efficient Multi-Objective Approach to Mitigate Stereotypical Bias in Language Models ACL 2024 Approximately Pareto-optimal Solutions for Bi-Objective k-Clustering 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 Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization ACL 2024 Boundary Decomposition for Nadir Objective Vector Estimation NeurIPS 2024 Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty AISTATS 2024 CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework NeurIPS 2024 CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization NeurIPS 2024 Decoding-Time Language Model Alignment with Multiple Objectives NeurIPS 2024 Direct Preference-Based Evolutionary Multi-Objective Optimization with Dueling Bandits NeurIPS 2024