Multi-Objective Optimization

Multiobjective Lipschitz Bandits under Lexicographic Ordering AAAI 2024 Multi-Stage Predict+Optimize for (Mixed Integer) Linear Programs NeurIPS 2024 Panacea: Pareto Alignment via Preference Adaptation for LLMs NeurIPS 2024 Power-Aware Inverse-Search Machine Learning for Low Resource Multi-Objective Unmanned Underwater Vehicle Control (Student Abstract) AAAI 2024 Preference-Aware Constrained Multi-Objective Bayesian Optimization (Student Abstract) AAAI 2024 Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning ICLR 2024 ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons NeurIPS 2024 Promoting Fair Vaccination Strategies through Influence Maximization: A Case Study on COVID-19 Spread AAAI 2024 Quantile-Regression-Ensemble: A Deep Learning Algorithm for Downscaling Extreme Precipitation AAAI 2024 Reward Penalties on Augmented States for Solving Richly Constrained RL Effectively AAAI 2024 Scaling Up Pareto Optimization for Tree Structures with Affine Transformations: Evaluating Hybrid Floating Solar-Hydropower Systems in the Amazon AAAI 2024 Several Stories about High-Multiplicity EFx Allocation (Student Abstract) AAAI 2024 Survival of the Safest: Towards Secure Prompt Optimization through Interleaved Multi-Objective Evolution EMNLP 2024 Towards Pareto-Efficient RLHF: Paying Attention to a Few High-Reward Samples with Reward Dropout EMNLP 2024 Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms NeurIPS 2024 Adaptive Algorithms for Relaxed Pareto Set Identification NeurIPS 2023 AutoCost: Evolving Intrinsic Cost for Zero-Violation Reinforcement Learning AAAI 2023 CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems AAAI 2023 Constrained Decision Transformer for Offline Safe Reinforcement Learning ICML 2023 Deep Reinforcement Learning for Cost-Effective Medical Diagnosis ICLR 2023 Discovering Many Diverse Solutions with Bayesian Optimization AISTATS 2023 Discovering Policies with DOMiNO: Diversity Optimization Maintaining Near Optimality ICLR 2023 Enhancing Meta Learning via Multi-Objective Soft Improvement Functions ICLR 2023 Federated Multi-Objective Learning NeurIPS 2023 FedMDFG: Federated Learning with Multi-Gradient Descent and Fair Guidance AAAI 2023