75 citations · 459 across the 65 of their papers we have counts for
3 papers · 1 filter
A Confidence Machine for Sparse High-Order Interaction Model
Diptesh Das, Eugene Ndiaye, Ichiro Takeuchi
In predictive modeling for high-stake decision-making, predictors must be not only accurate but also reliable. Conformal prediction (CP) is a promising approach for obtaining the c…
Benchmarking Active Learning Strategies for Materials Optimization and Discovery
Alex Wang, Haotong Liang, Austin McDannald +2
Autonomous physical science is revolutionizing materials science. In these systems, machine learning controls experiment design, execution, and analysis in a closed loop. Active le…
Bayesian Optimization for Distributionally Robust Chance-constrained Problem
Yu Inatsu, Shion Takeno, Masayuki Karasuyama +1
In black-box function optimization, we need to consider not only controllable design variables but also uncontrollable stochastic environment variables. In such cases, it is necess…