distribution comparison

Deep Kernel Relative Test for Machine-generated Text Detection ICLR 2025 Global Ground Metric Learning with Applications to scRNA data AISTATS 2025 Data Distribution Valuation NeurIPS 2024 Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions NeurIPS 2024 Validating Climate Models with Spherical Convolutional Wasserstein Distance NeurIPS 2024 Faster Unbalanced Optimal Transport: Translation invariant Sinkhorn and 1-D Frank-Wolfe AISTATS 2022 Fixed Support Tree-Sliced Wasserstein Barycenter AISTATS 2022 Two-Sample Test with Kernel Projected Wasserstein Distance AISTATS 2022 Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data NeurIPS 2021 Deep Divergence Learning ICML 2020 Comparing distributions: ℓ_1 geometry improves kernel two-sample testing NeurIPS 2019 Sliced Gromov-Wasserstein NeurIPS 2019 Learning Wasserstein Embeddings ICLR 2018 Principal Differences Analysis: Interpretable Characterization of Differences between Distributions NeurIPS 2015 A Kernel Two-Sample Test JMLR 2012 Density-Difference Estimation NeurIPS 2012 Optimal kernel choice for large-scale two-sample tests NeurIPS 2012 Relative Density-Ratio Estimation for Robust Distribution Comparison NeurIPS 2011 A Kernel Method for the Two-Sample-Problem NeurIPS 2006