1 citations · 1 across the 4 of their papers we have counts for
4 papers
Learning Probabilities of Causation with Mask-Augmented Data
Shuai Wang, Yizhou Sun, Judea Pearl +1
Probabilities of causation play a central role in modern decision making. Tian and Pearl first introduced formal definitions and derived tight bounds for three binary probabilities…
Resprompt: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models
Song Jiang, Zahra Shakeri, Aaron Chan +8
Chain-of-thought (CoT) prompting, which offers step-by-step problem-solving rationales, has impressively unlocked the reasoning potential of large language models (LLMs). Yet, the…
Unit Selection: Learning Benefit Function from Finite Population Data
Ang Li, Song Jiang, Yizhou Sun +1
The unit selection problem is to identify a group of individuals who are most likely to exhibit a desired mode of behavior, for example, selecting individuals who would respond one…
A Primer on Deep Learning for Causal Inference
Bernard Koch, Tim Sainburg, Pablo Geraldo +3
This review systematizes the emerging literature for causal inference using deep neural networks under the potential outcomes framework. It provides an intuitive introduction on ho…