Causal Theory

Causal theory aims to understand and model cause-and-effect relationships, focusing on inferring causal structures from observational data and predicting the effects of interventions. Current research emphasizes developing scalable algorithms, such as Bayesian methods and transformer models, to learn causal graphs, often relaxing constraints like acyclicity to handle complex systems and multi-scale temporal dynamics. This work is crucial for improving AI systems' ability to reason causally, leading to more reliable predictions and decision-making in various fields, including economics and natural sciences.

Papers

July 10, 2024

Teaching Transformers Causal Reasoning through Axiomatic Training
Aniket Vashishtha, Abhinav Kumar, Abbavaram Gowtham Reddy, Vineeth N Balasubramanian, Amit Sharma
Causal Transformer Training Paradigm Actual Causality Causal Theory

July 6, 2024

Scalable Variational Causal Discovery Unconstrained by Acyclicity
Nu Hoang, Bao Duong, Thin Nguyen
Variational Inference Causal Graph Directed Acyclic Graph Bayesian Causal Discovery Causal Theory

July 15, 2023

Causal Laws and Multi-Valued Fluents
Enrico Giunchiglia, Joohyung Lee, Vladimir Lifschitz, Hudson Turner
Non Axiomatic Reasoning Causal Assumption Causal Concept Language Action Causal Theory

August 31, 2022

Learning Multiscale Non-stationary Causal Structures
Gabriele D'Acunto, Gianmarco De Francisci Morales, Paolo Bajardi, Francesco Bonchi
Causal Graph Causal Effect Causal Structure Multivariate Time Series Data Causal Theory

June 13, 2022

Language Models are General-Purpose Interfaces
Yaru Hao, Haoyu Song, Li Dong, Shaohan Huang, Zewen Chi, Wenhui Wang, Shuming Ma, Furu Wei
Language Model Causal Language Standard Interface Bidirectional Encoders Causal Theory

April 11, 2022

Markov categories, causal theories, and the do-calculus
Yimu Yin, Jiji Zhang
Causal Model Markov Equivalence Class Causal Bayesian Network Causal Theory

March 23, 2022

Can Prompt Probe Pretrained Language Models? Understanding the Invisible Risks from a Causal View
Boxi Cao, Hongyu Lin, Xianpei Han, Fangchao Liu, Le Sun
Language Model Causal Intervention Causal View Hidden Risk Causal Theory