17 citations · 17 across the 2 of their papers we have counts for
3 papers
cs.CL2021
Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving
Lei Ding, Dengdeng Yu, Jinhan Xie +7
With widening deployments of natural language processing (NLP) in daily life, inherited social biases from NLP models have become more severe and problematic. Previous studies have…
stat.ME2021
Bayesian Fusion: Scalable unification of distributed statistical analyses
Hongsheng Dai, Murray Pollock, Gareth Roberts
There has recently been considerable interest in addressing the problem of unifying distributed statistical analyses into a single coherent inference. This problem naturally arises…
stat.ME2019★ 17 cited
Monte Carlo Fusion
Hongsheng Dai, Murray Pollock, Gareth Roberts
This paper proposes a new theory and methodology to tackle the problem of unifying distributed analyses and inferences on shared parameters from multiple sources, into a single coh…