2022
2020
DNN Representation Selective Inference
Quantifying Statistical Significance of Neural Network Representation-Driven Hypotheses by Selective Inference
Parametric Lasso Selective Inference
Parametric Programming Approach for More Powerful and General Lasso Selective Inference
Parametric Selective Inference Changepoint
Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming
2019
Learning Interpretable Metric between Graphs
Learning Interpretable Metric between Graphs: Convex Formulation and Computation with Graph Mining
KDD2019 accepted paper
S3P-classifier
Efficient learning algorithm for sparse subsequence pattern-based classification and applications to comparative animal trajectory data analysis
Advanced Robotics Vol.33, 2019 accepted paper
2018
Safe Triplet Screening
Safe Triplet Screening for Distance Metric Learning
KDD2018 accepted paper
Neural Computation Vol. 31 (12), 2019 accepted paper
Neural Computation Vol. 31 (12), 2019 accepted paper












