Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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Modality-aware differentially private federated learning for partially observed multimodal healthcare prediction
HVC Nguyen, TQ Nguyen, S Kravenkit, P Aimtongkham, P Padungweang, MS Ayub, C So–In
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Pareto-Set distribution transfer for evolutionary Bayesian optimization
H Wu, J Liu, AV Kononova, T Bäck, Y Jin, YS Ong
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Amortized Multi-Objective Optimization Across Tasks with Generative Solution Modeling
T Wei, J Liu, A Gupta, CC Ooi, PS Tan, YS Ong
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A Machine-based Decision-maker Toward Benchmarking Interactive Multi-criterion Decision-making Procedures
D Yadav, K Deb
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Interpretable and fair generalized additive neural networks via multi-objective learning
Z Wang, C Huang, K Tang, YS Ong, X Yao
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From Evidence to Trajectory: Abductive Reasoning Path Synthesis for Retrieval-Augmented Generation Agents Development
M Li, J Qi, Y Wu, M Zhao, L Ma, Y Li, X Wang, Z Tai, Z Song, Y Zhang, HF Leung, I King
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Iteration-wise intermediate points saved in an archive as outcome of an optimization algorithm considered unreliable
K Deb, A Khan
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QD-LLMs: Quality-Diversity Optimization with LLMs for Generative Design Exploration
A Koh, M Wong, J Liu, C Chen, T Rios, S Menzel, YS Ong
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Rethinking Evolutionary Optimization: Paying Attention to Intermediate Transitional Solutions for Certain Problems
A Khan, K Deb
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Regularity-Driven Multi-objective Neural Architecture Search
R Guha, S Raj, K Deb
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A GNBG-Inspired Multi-Component Benchmark Suite with Controlled Difficulty Axes for the IOH BenchDesign Challenge
R Salgotra, K Deb, AH Gandomi
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Directly Targeting Convex Pareto Solutions
K Deb, S Raj