Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
Publications in this area
1154 in total, most recent first.
- Modality-aware differentially private federated learning for partially observed multimodal healthcare prediction
- Pareto-Set distribution transfer for evolutionary Bayesian optimization
- Amortized Multi-Objective Optimization Across Tasks with Generative Solution Modeling
- A Machine-based Decision-maker Toward Benchmarking Interactive Multi-criterion Decision-making Procedures
- Interpretable and fair generalized additive neural networks via multi-objective learning
- From Evidence to Trajectory: Abductive Reasoning Path Synthesis for Retrieval-Augmented Generation Agents Development
- Iteration-wise intermediate points saved in an archive as outcome of an optimization algorithm considered unreliable
- QD-LLMs: Quality-Diversity Optimization with LLMs for Generative Design Exploration
- Rethinking Evolutionary Optimization: Paying Attention to Intermediate Transitional Solutions for Certain Problems
- Regularity-Driven Multi-objective Neural Architecture Search
- A GNBG-Inspired Multi-Component Benchmark Suite with Controlled Difficulty Axes for the IOH BenchDesign Challenge
- Directly Targeting Convex Pareto Solutions