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Papers
Statistical Test for Attention in Transformers for Images and Time Series
JMLR 2026
The Price of Valid Inference After Causal Discovery
UAI 2026
CAP: A General Algorithm for Online Selective Conformal Prediction with FCR Control
JMLR 2025
Distribution Estimation under the Infinity Norm
JMLR 2025
Selective Inference with Distributed Data
JMLR 2025
Statistical Inference for Feature Selection after Optimal Transport-based Domain Adaptation
AISTATS 2025
Statistical Test for Auto Feature Engineering by Selective Inference
AISTATS 2025
Statistical Test for Feature Selection Pipelines by Selective Inference
ICML 2025
CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference
AISTATS 2024
Online multiple testing with e-values
AISTATS 2024
Statistical Test for Attention Maps in Vision Transformers
ICML 2024
Selective inference for k-means clustering
JMLR 2023
Valid P-Value for Deep Learning-driven Salient Region
ICLR 2023
Fast and More Powerful Selective Inference for Sparse High-Order Interaction Model
AAAI 2022
More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming
JMLR 2022
Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference
NeurIPS 2022
Tree-Values: Selective Inference for Regression Trees
JMLR 2022
More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method
ICML 2021
Parametric Programming Approach for More Powerful and General Lasso Selective Inference
AISTATS 2021
Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming
NeurIPS 2020
Computing Valid P-Values for Image Segmentation by Selective Inference
CVPR 2020
More Powerful Selective Kernel Tests for Feature Selection
AISTATS 2020
Why Adaptively Collected Data Have Negative Bias and How to Correct for It
AISTATS 2018
Selective Inference for Sparse High-Order Interaction Models
ICML 2017
Power of Ordered Hypothesis Testing
ICML 2016