A Generalized Framework of Multi-fidelity Max-value Entropy Search through Joint Entropy
Python

Constrained Max-value Entropy Search via Information lower BOund
Python

Quantifying Statistical Significance of Neural Network Representation-Driven Hypotheses by Selective Inference
Python

Multi-scale Domain-adversarial Multiple Instance Learning CNN
Python

Parametric Programming Approach for More Powerful and General Lasso Selective Inference
Python

Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming
Python

Learning Interpretable Metric between Graphs: Convex Formulation and Computation with Graph Mining
KDD2019 accepted paper
C++

SelectiveInference for SafePatternPruning
C++

Efficient learning algorithm for sparse subsequence pattern-based classification and applications to comparative animal trajectory data analysis
Advanced Robotics Vol.33, 2019 accepted paper
C++

Safe Triplet Screening for Distance Metric Learning
KDD2018 accepted paper
Neural Computation Vol. 31 (12), 2019 accepted paper
C++

Safe pattern pruning: An Efficient Approach for Predictive Pattern Mining
KDD2016 accepted paper
C++

Simulteneous Safe Screening of Features and Samples in Doubly Sparse Modeling
ICML2016 accepted paper
C++

Regularization path of Cross-validation Error Lower Bounds
NIPS2015 accepted paper
C++