goodness-of-fit testing

On the Robustness of Kernel Goodness-of-Fit Tests JMLR 2025 Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation EMNLP 2024 Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime NeurIPS 2024 Sequential Kernel Goodness-of-fit Testing ICML 2024 Multivariate Soft Rank via Entropy-Regularized Optimal Transport: Sample Efficiency and Generative Modeling JMLR 2023 A Kernelised Stein Statistic for Assessing Implicit Generative Models NeurIPS 2022 Standardisation-function Kernel Stein Discrepancy: A Unifying View on Kernel Stein Discrepancy Tests for Goodness-of-fit AISTATS 2022 A Stein Goodness-of-test for Exponential Random Graph Models AISTATS 2021 Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit COLT 2020 Private Identity Testing for High-Dimensional Distributions NeurIPS 2020 Toward universal testing of dynamic network models ALT 2020 A Family of Exact Goodness-of-Fit Tests for High-Dimensional Discrete Distributions AISTATS 2019 Universal Hypothesis Testing with Kernels: Asymptotically Optimal Tests for Goodness of Fit AISTATS 2019 Random Feature Stein Discrepancies NeurIPS 2018