nonparametric test

Deep Nonparametric Conditional Independence Tests for Images JMLR 2026 A General Framework for the Analysis of Kernel-based Tests JMLR 2024 On Ranking-based Tests of Independence AISTATS 2024 Interaction Measures, Partition Lattices and Kernel Tests for High-Order Interactions NeurIPS 2023 MMD Aggregated Two-Sample Test JMLR 2023 A Kernel Two-Sample Test for Functional Data JMLR 2022 Efficient Aggregated Kernel Tests using Incomplete U-statistics NeurIPS 2022 Standardisation-function Kernel Stein Discrepancy: A Unifying View on Kernel Stein Discrepancy Tests for Goodness-of-fit AISTATS 2022 Testing Conditional Independence via Quantile Regression Based Partial Copulas JMLR 2021 A kernel test for quasi-independence NeurIPS 2020 Minimax Nonparametric Parallelism Test JMLR 2020 Probabilistic Connection Importance Inference and Lossless Compression of Deep Neural Networks ICLR 2020 Kernel Stein Tests for Multiple Model Comparison NeurIPS 2019 Informative Features for Model Comparison NeurIPS 2018 Bias and Statistical Significance in Evaluating Speech Synthesis with Mean Opinion Scores Interspeech 2017 Model-Powered Conditional Independence Test NeurIPS 2017 A Kernel Test of Goodness of Fit ICML 2016 A Strategy for Ranking Optimization Methods using Multiple Criteria AutoML 2016 Minimax Estimation of Maximum Mean Discrepancy with Radial Kernels NeurIPS 2016 A low variance consistent test of relative dependency ICML 2015 Fast Two-Sample Testing with Analytic Representations of Probability Measures NeurIPS 2015 M-Statistic for Kernel Change-Point Detection NeurIPS 2015 A Kernel Test for Three-Variable Interactions NeurIPS 2013 B-test: A Non-parametric, Low Variance Kernel Two-sample Test NeurIPS 2013 Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets AISTATS 2012