Active Learning for Enumerating Local Minima Based on Gaussian Process Derivatives von Inatsu, Yu, Sugita, Daisuke, Toyoura, Kazuaki, Takeuchi, Ichiro

Volltext

Bayesian Experimental Design for Finding Reliable Level Set Under Input Uncertainty von Iwazaki, Shogo, Inatsu, Yu, Takeuchi, Ichiro

Volltext

Exploration of natural red-shifted rhodopsins using a machine learning-based Bayesian experimental design von Inoue, Keiichi, Karasuyama, Masayuki, Nakamura, Ryoko, Konno, Masae, Yamada, Daichi, Mannen, Kentaro, Nagata, Takashi, Inatsu, Yu, Yawo, Hiromu, Yura, Kei, Béjà, Oded, Kandori, Hideki, Takeuchi, Ichiro

Volltext

Model selection criterion based on the prediction mean squared error in generalized estimating equations von Inatsu, Yu, Imori, Shinpei

Volltext

An adaptive decision making algorithm for multiple objective level set estimation problems von IWAZAKI, Shogo, TAKENO, Shion, INATSU, Yu, MATSUI, Kota

Volltext

Exploration of natural red-shifted rhodopsins using a machine learning-based Bayesian experimental design (vol 4, pg 362, 2021) von Inoue, Keiichi, Karasuyama, Masayuki, Nakamura, Ryoko, Konno, Masae, Yamada, Daichi, Mannen, Kentaro, Nagata, Takashi, Inatsu, Yu, Yawo, Hiromu, Yura, Kei, Beja, Oded, Kandori, Hideki, Takeuchi, Ichiro

Volltext

Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds von Takeno, Shion, Inatsu, Yu, Karasuyama, Masayuki

Volltext bestellen

Active Learning for Level Set Estimation Using Randomized Straddle Algorithms von Inatsu, Yu, Takeno, Shion, Kutsukake, Kentaro, Takeuchi, Ichiro

Volltext bestellen

Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds von Takeno, Shion, Inatsu, Yu, Karasuyama, Masayuki, Takeuchi, Ichiro

Volltext bestellen

Active learning for distributionally robust level-set estimation von Inatsu, Yu, Iwazaki, Shogo, Takeuchi, Ichiro

Volltext bestellen

Mean-Variance Analysis in Bayesian Optimization under Uncertainty von Iwazaki, Shogo, Inatsu, Yu, Takeuchi, Ichiro

Volltext bestellen

Regret Analysis for Randomized Gaussian Process Upper Confidence Bound von Takeno, Shion, Yu Inatsu, Karasuyama, Masayuki

Volltext

Bayesian Quadrature Optimization for Probability Threshold Robustness Measure von Iwazaki, Shogo, Inatsu, Yu, Takeuchi, Ichiro

Volltext bestellen

Bayesian Experimental Design for Finding Reliable Level Set under Input Uncertainty von Iwazaki, Shogo, Inatsu, Yu, Takeuchi, Ichiro

Volltext bestellen

Conditional Selective Inference for Robust Regression and Outlier Detection using Piecewise-Linear Homotopy Continuation von Tsukurimichi, Toshiaki, Inatsu, Yu, Duy, Vo Nguyen Le, Takeuchi, Ichiro

Volltext bestellen

Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds von Takeno, Shion, Yu Inatsu, Karasuyama, Masayuki

Volltext

Active Learning for Level Set Estimation Using Randomized Straddle Algorithms von Yu Inatsu, Takeno, Shion, Kutsukake, Kentaro, Takeuchi, Ichiro

Volltext

Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds von Takeno, Shion, Yu Inatsu, Karasuyama, Masayuki, Takeuchi, Ichiro

Volltext

Valid and Exact Statistical Inference for Multi-dimensional Multiple Change-Points by Selective Inference von Sugiyama, Ryota, Toda, Hiroki, Duy, Vo Nguyen Le, Inatsu, Yu, Takeuchi, Ichiro

Volltext bestellen

Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty von Yu Inatsu, Takeno, Shion, Hanada, Hiroyuki, Iwata, Kazuki, Takeuchi, Ichiro

Volltext