two-sample test

Maximum Mean Discrepancy Test is Aware of Adversarial Attacks ICML 2021 Neural Tangent Kernel Maximum Mean Discrepancy NeurIPS 2021 On a projective ensemble approach to two sample test for equality of distributions ICML 2020 Two-sample Testing Using Deep Learning AISTATS 2020 Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations AISTATS 2020 A Higher-Order Kolmogorov-Smirnov Test AISTATS 2019 Comparing distributions: ℓ_1 geometry improves kernel two-sample testing NeurIPS 2019 Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift NeurIPS 2019 Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data AAAI 2019 Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator ICLR 2019 Differentially Private Testing of Identity and Closeness of Discrete Distributions NeurIPS 2018 Practical Methods for Graph Two-Sample Testing NeurIPS 2018 A Linear-Time Kernel Goodness-of-Fit Test NeurIPS 2017 Consistent and Efficient Nonparametric Different-Feature Selection AISTATS 2017 Lipschitz Density-Ratios, Structured Data, and Data-driven Tuning AISTATS 2017 MMD GAN: Towards Deeper Understanding of Moment Matching Network NeurIPS 2017 Testing and Learning on Distributions with Symmetric Noise Invariance NeurIPS 2017 Efficient Nonparametric Smoothness Estimation NeurIPS 2016 Fast Two-Sample Testing with Analytic Representations of Probability Measures NeurIPS 2015 On the High Dimensional Power of a Linear-Time Two Sample Test under Mean-shift Alternatives AISTATS 2015 Statistical Model Criticism using Kernel Two Sample Tests NeurIPS 2015 Statistical Topological Data Analysis - A Kernel Perspective NeurIPS 2015 A Wild Bootstrap for Degenerate Kernel Tests NeurIPS 2014 B-test: A Non-parametric, Low Variance Kernel Two-sample Test NeurIPS 2013 A Kernel Two-Sample Test JMLR 2012