kernel stein discrepancy

Nyström Kernel Stein Discrepancy AISTATS 2025 On the Robustness of Kernel Goodness-of-Fit Tests JMLR 2025 Counterfactual Density Estimation using Kernel Stein Discrepancies ICLR 2024 Kernel Semi-Implicit Variational Inference ICML 2024 Targeted Separation and Convergence with Kernel Discrepancies JMLR 2024 A Finite-Particle Convergence Rate for Stein Variational Gradient Descent NeurIPS 2023 A High-dimensional Convergence Theorem for U-statistics with Applications to Kernel-based Testing COLT 2023 A Kernel Stein Test of Goodness of Fit for Sequential Models ICML 2023 Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization NeurIPS 2023 Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation NeurIPS 2023 Accurate Quantization of Measures via Interacting Particle-based Optimization ICML 2022 Efficient Aggregated Kernel Tests using Incomplete U-statistics NeurIPS 2022 KSD Aggregated Goodness-of-fit Test NeurIPS 2022 Standardisation-function Kernel Stein Discrepancy: A Unifying View on Kernel Stein Discrepancy Tests for Goodness-of-fit AISTATS 2022 Kernel Stein Discrepancy Descent ICML 2021 Measure Transport with Kernel Stein Discrepancy AISTATS 2021 Adaptive MCMC via Combining Local Samplers AISTATS 2019 Kernel Stein Tests for Multiple Model Comparison NeurIPS 2019 Universal Hypothesis Testing with Kernels: Asymptotically Optimal Tests for Goodness of Fit AISTATS 2019 Stein Points ICML 2018 Measuring Sample Quality with Kernels ICML 2017