While this subspace projection method precluded gender-biased analogies from holding in the embedding space,<cite> Bolukbasi et al. (2016)</cite> did not provide any theoretical guarantee that the vectors were unbiased (i.e., equivalent to vectors that would be obtained from training on a gender-agnostic corpus with no reconstruction error).