Complete result settings for Ad dataset (table columns are sortable)
The experiments are described in Rooshenas and Lowd, Discriminative Structure Learning of Arithmetic Circuits, AIStats 16

Standard Deviation	L1 Penalty	Train CLL	Validation CLL	Test CLL	Node#	Edge#	Feature#	Learning Time
0.5	2	-4.900620	-5.599270	-5.450508	253628	565827	9740	24595.609898
0.1	2	-5.386751	-6.071616	-5.899035	253628	565827	9740	24922.696173
0.1	0.1	-4.623933	-5.348395	-5.183854	253628	565827	9740	33455.159041
0.5	0.1	-4.617104	-5.341640	-5.182352	253628	565827	9740	33467.003241
0.1	1	-4.330628	-5.099516	-4.929483	253628	565827	9740	35988.235956
0.5	1	-4.335505	-5.108857	-4.921654	253628	565827	9740	39270.217018
0.1	0.5	-3.999095	-4.787533	-4.658431	253628	565827	9740	39693.478674
0.5	0.5	-4.009455	-4.816224	-4.668208	253628	565827	9740	55846.351064