5 citations · 5 across the 5 of their papers we have counts for
6 papers
SAVER: Stochastic Adaptive Variance-Driven Exploration and Reconstruction for Low-Dose Computed Tomography
Shunta Nonaga, Koji Tabata, Junya Honda +3
Computed Tomography (CT) is indispensable in clinical diagnostics, yet minimizing radiation dose without compromising image quality remains a critical challenge. Conventional low-d…
An Efficient Algorithm for Thresholding Monte Carlo Tree Search
Shoma Nameki, Atsuyoshi Nakamura, Junpei Komiyama +1
We introduce the Thresholding Monte Carlo Tree Search problem, in which, given a tree and a threshold , a player must answer whether the root node value of $\mathc…
Risk-Averse Best Arm Set Identification with Fixed Budget and Fixed Confidence
Shunta Nonaga, Koji Tabata, Yuta Mizuno +1
Decision making under uncertain environments in the maximization of expected reward while minimizing its risk is one of the ubiquitous problems in many subjects. Here, we introduce…
Gaussian Process Classification Bandits
Tatsuya Hayashi, Naoki Ito, Koji Tabata +4
Classification bandits are multi-armed bandit problems whose task is to classify a given set of arms into either positive or negative class depending on whether the rate of the arm…
A Bad Arm Existence Checking Problem
Koji Tabata, Atsuyoshi Nakamura, Junya Honda +1
We study a bad arm existing checking problem in which a player's task is to judge whether a positive arm exists or not among given K arms by drawing as small number of arms as poss…
Feature selection as Monte-Carlo Search in Growing Single Rooted Directed Acyclic Graph by Best Leaf Identification
Aurelien Pelissier, Atsuyoshi Nakamura, Koji Tabata
Monte Carlo tree search (MCTS) has received considerable interest due to its spectacular success in the difficult problem of computer Go and also proved beneficial in a range of ot…