kernelized stein discrepancy

Data-centric Prediction Explanation via Kernelized Stein Discrepancy ICLR 2025 Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent ICLR 2025 Sequential Kernelized Stein Discrepancy AISTATS 2025 Approximate Stein Classes for Truncated Density Estimation ICML 2023 Bayesian Data Selection JMLR 2023 Indirect Adversarial Losses via an Intermediate Distribution for Training GANs WACV 2023 Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning AAAI 2023 Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy ICML 2023 A Convergence Theory for SVGD in the Population Limit under Talagrand’s Inequality T1 ICML 2022 A Kernelised Stein Statistic for Assessing Implicit Generative Models NeurIPS 2022 Sliced Kernelized Stein Discrepancy ICLR 2021 Kernelized Stein Discrepancy Tests of Goodness-of-fit for Time-to-Event Data ICML 2020 Learning Kernel Tests Without Data Splitting NeurIPS 2020 Stein Variational Inference for Discrete Distributions AISTATS 2020 Bayesian Posterior Approximation via Greedy Particle Optimization AAAI 2019 Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm NeurIPS 2016