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Multi-Objective Optimization

151 directly classified papers

Papers per year

Papers

Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization NIPS 2024
Reward Penalties on Augmented States for Solving Richly Constrained RL Effectively AAAI 2024
Towards Pareto-Efficient RLHF: Paying Attention to a Few High-Reward Samples with Reward Dropout EMNLP 2024
Decision-Making for Land Conservation: A Derivative-Free Optimization Framework with Nonlinear Inputs AAAI 2024
Survival of the Safest: Towards Secure Prompt Optimization through Interleaved Multi-Objective Evolution EMNLP 2024
Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime NIPS 2024
Fair and Welfare-Efficient Constrained Multi-Matchings under Uncertainty NIPS 2024
Several Stories about High-Multiplicity EFx Allocation (Student Abstract) AAAI 2024
Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms NIPS 2024
ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons NIPS 2024
Decoding-Time Language Model Alignment with Multiple Objectives NIPS 2024
Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization ACL 2024
GDPO: Learning to Directly Align Language Models with Diversity Using GFlowNets EMNLP 2024
HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models NIPS 2024
Mitigating Open-Vocabulary Caption Hallucinations EMNLP 2024
Learning the Optimal Policy for Balancing Short-Term and Long-Term Rewards NIPS 2024
Multi-Stage Predict+Optimize for (Mixed Integer) Linear Programs NIPS 2024
Monte Carlo Thought Search: Large Language Model Querying for Complex Scientific Reasoning in Catalyst Design EMNLP 2023
AutoCost: Evolving Intrinsic Cost for Zero-Violation Reinforcement Learning AAAI 2023
Flexible Budgets in Restless Bandits: A Primal-Dual Algorithm for Efficient Budget Allocation AAAI 2023
Constrained Decision Transformer for Offline Safe Reinforcement Learning ICML 2023
Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning AAAI 2023
CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems AAAI 2023
FedMDFG: Federated Learning with Multi-Gradient Descent and Fair Guidance AAAI 2023
Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization NIPS 2023