Co-occurring keywords · papers mentioning both
Papers
Bayesian numerical integration with neural networks
UAI 2023
AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators
NeurIPS 2022
Gradient Estimation with Discrete Stein Operators
NeurIPS 2022
Standardisation-function Kernel Stein Discrepancy: A Unifying View on Kernel Stein Discrepancy Tests for Goodness-of-fit
AISTATS 2022
Testing Goodness of Fit of Conditional Density Models with Kernels
UAI 2020
Fisher Efficient Inference of Intractable Models
NeurIPS 2019
Global Non-convex Optimization with Discretized Diffusions
NeurIPS 2018