75 citations · 459 across the 65 of their papers we have counts for
8 papers · 2 filters
Bayesian Optimization for Cascade-type Multi-stage Processes
Shunya Kusakawa, Shion Takeno, Yu Inatsu +6
Complex processes in science and engineering are often formulated as multistage decision-making problems. In this paper, we consider a type of multistage decision-making process ca…
Valid and Exact Statistical Inference for Multi-dimensional Multiple Change-Points by Selective Inference
Ryota Sugiyama, Hiroki Toda, Vo Nguyen Le Duy +2
In this paper, we study statistical inference of change-points (CPs) in multi-dimensional sequence. In CP detection from a multi-dimensional sequence, it is often desirable not onl…
Exact Statistical Inference for the Wasserstein Distance by Selective Inference
Vo Nguyen Le Duy, Ichiro Takeuchi
In this paper, we study statistical inference for the Wasserstein distance, which has attracted much attention and has been applied to various machine learning tasks. Several studi…
Fast and More Powerful Selective Inference for Sparse High-order Interaction Model
Diptesh Das, Vo Nguyen Le Duy, Hiroyuki Hanada +2
Automated high-stake decision-making such as medical diagnosis requires models with high interpretability and reliability. As one of the interpretable and reliable models with good…
More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming
Vo Nguyen Le Duy, Ichiro Takeuchi
Conditional selective inference (SI) has been studied intensively as a new statistical inference framework for data-driven hypotheses. The basic concept of conditional SI is to mak…
Conditional Selective Inference for Robust Regression and Outlier Detection using Piecewise-Linear Homotopy Continuation
Toshiaki Tsukurimichi, Yu Inatsu, Vo Nguyen Le Duy +1
In practical data analysis under noisy environment, it is common to first use robust methods to identify outliers, and then to conduct further analysis after removing the outliers.…