SBI: A Simulation-Based Test of Identifiability for Bayesian Causal Inference

23 February 2021

Papers citing "SBI: A Simulation-Based Test of Identifiability for Bayesian Causal Inference"

9 / 9 papers shown

Title
The Causal-Neural Connection: Expressiveness, Learnability, and Inference K. Xia Kai-Zhan Lee Yoshua Bengio Elias Bareinboim CML 73 110 0 02 Jul 2021
MultiVerse: Causal Reasoning using Importance Sampling in Probabilistic Programming Yura N. Perov L. Graham Kostis Gourgoulias Jonathan G. Richens Ciarán M. Gilligan-Lee Adam Baker Saurabh Johri LRM 41 17 0 17 Oct 2019
Pyro: Deep Universal Probabilistic Programming Eli Bingham Jonathan P. Chen M. Jankowiak F. Obermeyer Neeraj Pradhan Theofanis Karaletsos Rohit Singh Paul A. Szerlip Paul Horsfall Noah D. Goodman BDL GP 157 1,054 0 18 Oct 2018
Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding Nathan Kallus Xiaojie Mao Angela Zhou CML 54 93 0 05 Oct 2018
Causal Effect Inference with Deep Latent-Variable Models Christos Louizos Uri Shalit Joris Mooij David Sontag R. Zemel Max Welling CML BDL 206 744 0 24 May 2017
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 266 3,702 0 26 May 2016
Venture: a higher-order probabilistic programming platform with programmable inference Vikash K. Mansinghka Daniel Selsam Yura N. Perov 66 256 0 01 Apr 2014
Probabilities of Causation: Bounds and Identification Jin Tian Judea Pearl 108 217 0 16 Jan 2013
Pearl's Calculus of Intervention Is Complete Yimin Huang Marco Valtorta CML 89 232 0 27 Jun 2012