There are a couple of issues with the citations to the kernel Stein discrepancy on p. 254, lines 4-8.
First, Gorham and Mackey [GM15] did not introduce the kernel Stein discrepancy. They defined a Langevin Stein discrepancy in terms of a different function class, namely The W^{2,\infty} Sobolev ball.
Second, the goodness-of-fit test based on the Kernel Stein Discrepancy was simultaneously introduced in the same ICML 2016 conference by [LLJ16] and in the paper:
Chwialkowski, Kacper and Strathmann, Heiko and Gretton, Arthur
A Kernel Test of Goodness of Fit
In: International conference on machine learning. 2016, pp. 2606--2615
There are a couple of issues with the citations to the kernel Stein discrepancy on p. 254, lines 4-8.
First, Gorham and Mackey [GM15] did not introduce the kernel Stein discrepancy. They defined a Langevin Stein discrepancy in terms of a different function class, namely The W^{2,\infty} Sobolev ball.
Second, the goodness-of-fit test based on the Kernel Stein Discrepancy was simultaneously introduced in the same ICML 2016 conference by [LLJ16] and in the paper:
Chwialkowski, Kacper and Strathmann, Heiko and Gretton, Arthur A Kernel Test of Goodness of Fit In: International conference on machine learning. 2016, pp. 2606--2615
BTW, there is a review paper here with further details of recent developments in Stein's method and computational statistics: https://projecteuclid.org/journals/statistical-science/volume-38/issue-1/Steins-Method-Meets-Computational-Statistics--A-Review-of-Some/10.1214/22-STS863.short
Best, Arthur