2 papers
cs.HC2026
Learning Feasibility-Aware Latent Spaces for Preference-Based Exploration of Procedural Automotive Wheel Designs
Takashi Owaki, Yuki Koyama, Tomoyasu Nakano +3
Intelligent design interfaces that rely on preference-based optimization are most useful when their suggestions are both meaningful to users and feasible within the target domain.…
cs.LG2025
Constrained Preferential Bayesian Optimization and Its Application in Banner Ad Design
Koki Iwai, Yusuke Kumagae, Yuki Koyama +2
Preferential Bayesian optimization (PBO) is a variant of Bayesian optimization that observes relative preferences (e.g., pairwise comparisons) instead of direct objective values, m…