 We highlight the applicability of our results in four settings of central importance in the literature : 1) heterogeneous treatment effect estimation, 2) offline policy optimization, 3) domain adaptation, and 4) learning with missing data.
<clarity>  We highlight the applicability of our results in four settings of central importance in the literature : 1) heterogeneous treatment effect estimation, 2) offline policy optimization, 3) domain adaptation, and 4) learning with missing data.
 We highlight the applicability of our results in four settings of central importance : 1) heterogeneous treatment effect estimation, 2) offline policy optimization, 3) domain adaptation, and 4) learning with missing data.