goodness-of-fit test

Anomaly detection in time-series via inductive biases in the latent space of conditional normalizing flows UAI 2026 Composite Goodness-of-fit Tests with Kernels JMLR 2025 Measuring IIA Violations in Similarity Choices with Bayesian Models UAI 2025 Nyström Kernel Stein Discrepancy AISTATS 2025 Recurrent Neural Goodness-of-Fit Test for Time Series AISTATS 2025 Sequential Kernelized Stein Discrepancy AISTATS 2025 The Polynomial Stein Discrepancy for Assessing Moment Convergence ICML 2025 Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation EMNLP 2024 MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations ICML 2024 On Parameter Estimation in Deviated Gaussian Mixture of Experts AISTATS 2024 On the Optimality of Gaussian Kernel Based Nonparametric Tests against Smooth Alternatives JMLR 2024 Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime NeurIPS 2024 Spectral Regularized Kernel Goodness-of-Fit Tests JMLR 2024 Minimax optimal testing by classification COLT 2023 On Testability and Goodness of Fit Tests in Missing Data Models UAI 2023 Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy ICML 2023 KSD Aggregated Goodness-of-fit Test NeurIPS 2022 On testability of the front-door model via Verma constraints UAI 2022 Active Slices for Sliced Stein Discrepancy ICML 2021 Detecting Anomalous Event Sequences with Temporal Point Processes NeurIPS 2021 Goodness-of-Fit Test for Mismatched Self-Exciting Processes AISTATS 2021 Interpretable Stein Goodness-of-fit Tests on Riemannian Manifold ICML 2021 On the Optimality of Kernel-Embedding Based Goodness-of-Fit Tests JMLR 2021 Sliced Kernelized Stein Discrepancy ICLR 2021 A Stein Goodness-of-fit Test for Directional Distributions AISTATS 2020