dataset	N	method	energy distance	MMD (Gaussian, median σ)	seconds
mixture-2d	1000	support points · energy	0.000323	1.57e-6	0.41
mixture-2d	1000	support points · gaussian	0.00264	3.21e-5	0.21
mixture-2d	1000	herding · energy	0.000439	1.08e-5	0.0018
mixture-2d	1000	herding · gaussian	0.00772	1.9e-5	0.064
mixture-2d	1000	kernel thinning · energy	0.000374	1.1e-6	0.0058
mixture-2d	1000	kernel thinning · gaussian	0.00156	7.92e-7	0.047
mixture-2d	1000	random	0.012	0.00258	–
normal-10d	1000	support points · energy	0.0215	0.00187	0.59
normal-10d	1000	support points · gaussian	0.0247	0.00224	1.2
normal-10d	1000	herding · energy	0.00822	0.000114	0.004
normal-10d	1000	herding · gaussian	0.00927	9.82e-5	0.018
normal-10d	1000	kernel thinning · energy	0.0084	0.000113	0.0082
normal-10d	1000	kernel thinning · gaussian	0.0099	0.000124	0.043
normal-10d	1000	random	0.0255	0.00227	–
uniform-5d	1000	support points · energy	0.0047	0.000255	0.34
uniform-5d	1000	support points · gaussian	0.0158	0.00189	0.27
uniform-5d	1000	herding · energy	0.00343	3.62e-5	0.0021
uniform-5d	1000	herding · gaussian	0.00535	3.54e-5	0.015
uniform-5d	1000	kernel thinning · energy	0.00344	2.02e-5	0.007
uniform-5d	1000	kernel thinning · gaussian	0.00504	2.11e-5	0.037
uniform-5d	1000	random	0.0173	0.00217	–
t3-3d	1000	support points · energy	0.00163	0.000116	0.42
t3-3d	1000	support points · gaussian	0.00586	0.000841	0.88
t3-3d	1000	herding · energy	0.00174	9.8e-5	0.0022
t3-3d	1000	herding · gaussian	0.0035	7.58e-5	0.02
t3-3d	1000	kernel thinning · energy	0.00162	8.52e-5	0.0047
t3-3d	1000	kernel thinning · gaussian	0.00289	6.47e-5	0.034
t3-3d	1000	random	0.0161	0.00375	–
mixture-2d	10000	support points · energy	0.000173	3.2e-5	3.6
mixture-2d	10000	support points · gaussian	0.0003	1.74e-6	5.4
mixture-2d	10000	herding · energy	1.42e-5	1.87e-7	0.14
mixture-2d	10000	herding · gaussian	0.00432	2.85e-7	0.44
mixture-2d	10000	kernel thinning · energy	1.28e-5	6.92e-9	1.2
mixture-2d	10000	kernel thinning · gaussian	0.000207	7.24e-9	3.2
mixture-2d	10000	random	0.000885	0.000166	–
normal-10d	10000	support points · energy	0.0025	0.000215	8.9
normal-10d	10000	support points · gaussian	0.00299	0.000289	9.5
normal-10d	10000	herding · energy	0.0006	1.91e-6	0.21
normal-10d	10000	herding · gaussian	0.000873	2.17e-6	0.52
normal-10d	10000	kernel thinning · energy	0.000634	2.27e-6	1.9
normal-10d	10000	kernel thinning · gaussian	0.000824	2.67e-6	3.0
normal-10d	10000	random	0.00208	0.000164	–
uniform-5d	10000	support points · energy	0.000844	7.24e-5	5.9
uniform-5d	10000	support points · gaussian	0.00187	0.000243	9.7
uniform-5d	10000	herding · energy	0.000199	3.2e-7	0.14
uniform-5d	10000	herding · gaussian	0.00046	4.64e-7	0.49
uniform-5d	10000	kernel thinning · energy	0.000205	1.48e-7	1.5
uniform-5d	10000	kernel thinning · gaussian	0.000439	3.23e-7	2.7
uniform-5d	10000	random	0.00146	0.00016	–
t3-3d	10000	support points · energy	0.000262	4.82e-5	4.3
t3-3d	10000	support points · gaussian	0.000583	8.06e-5	13.0
t3-3d	10000	herding · energy	8.06e-5	2.77e-6	0.13
t3-3d	10000	herding · gaussian	0.00082	2.25e-6	0.42
t3-3d	10000	kernel thinning · energy	7.97e-5	2.72e-6	1.4
t3-3d	10000	kernel thinning · gaussian	0.000284	1.9e-6	2.7
t3-3d	10000	random	0.00151	0.000305	–