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cs.LG2024
Preference-Optimized Pareto Set Learning for Blackbox Optimization
Zhang Haishan, Diptesh Das, Koji Tsuda
Multi-Objective Optimization (MOO) is an important problem in real-world applications. However, for a non-trivial problem, no single solution exists that can optimize all the objec…
cs.LG2023★ 1 cited
Feature Importance Measurement based on Decision Tree Sampling
Chao Huang, Diptesh Das, Koji Tsuda
Random forest is effective for prediction tasks but the randomness of tree generation hinders interpretability in feature importance analysis. To address this, we proposed DT-Sampl…