all AI news
Simulating counterfactuals
March 28, 2024, 4:43 a.m. | Juha Karvanen, Santtu Tikka, Matti Vihola
cs.LG updates on arXiv.org arxiv.org
Abstract: Counterfactual inference considers a hypothetical intervention in a parallel world that shares some evidence with the factual world. If the evidence specifies a conditional distribution on a manifold, counterfactuals may be analytically intractable. We present an algorithm for simulating values from a counterfactual distribution where conditions can be set on both discrete and continuous variables. We show that the proposed algorithm can be presented as a particle filter leading to asymptotically valid inference. The algorithm …
abstract algorithm arxiv counterfactual cs.cy cs.lg distribution evidence inference manifold set shares stat.co stat.ml type values world
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Alternance DATA/AI Engineer (H/F)
@ SQLI | Le Grand-Quevilly, France