5 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning
Jiaru Zhang, Rui Ding, Qiang Fu +6
Causal discovery is a structured prediction task that aims to predict causal relations among variables based on their data samples. Supervised Causal Learning (SCL) is an emerging…
cs.CL2021
Simpson's Bias in NLP Training
Fei Yuan, Longtu Zhang, Huang Bojun +1
In most machine learning tasks, we evaluate a model on a given data population by measuring a population-level metric . Examples of such evaluation metric inclu…
cs.LG2020★ 5 cited
Steady State Analysis of Episodic Reinforcement Learning
Huang Bojun
This paper proves that the episodic learning environment of every finite-horizon decision task has a unique steady state under any behavior policy, and that the marginal distributi…