Differentiable Causal Discovery Under Unmeasured Confounding

Differentiable Causal Discovery Under Unmeasured Confounding

14 October 2020

Rohit Bhattacharya

Tushar Nagarajan

Daniel Malinsky

Papers citing "Differentiable Causal Discovery Under Unmeasured Confounding"

15 / 15 papers shown

Title
dcFCI: Robust Causal Discovery Under Latent Confounding, Unfaithfulness, and Mixed Data Adèle H. Ribeiro Dominik Heider CML 26 0 0 10 May 2025
Addressing pitfalls in implicit unobserved confounding synthesis using explicit block hierarchical ancestral sampling Xudong Sun Alex Markham Pratik Misra Carsten Marr CML 68 0 0 12 Mar 2025
Human-in-the-Loop Causal Discovery under Latent Confounding using Ancestral GFlowNets Tiago da Silva Eliezer de Souza da Silva Adèle H. Ribeiro António Góis Dominik Heider Samuel Kaski Diego Mesquita CML 49 6 0 21 Sep 2023
DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization Kevin Bello Bryon Aragam Pradeep Ravikumar 61 78 0 16 Sep 2022
Truncated Matrix Power Iteration for Differentiable DAG Learning Zhen Zhang Ignavier Ng Dong Gong Yuhang Liu Ehsan Abbasnejad Biwei Huang Anton van den Hengel Javen Qinfeng Shi 32 25 0 30 Aug 2022
Valid Inference after Causal Discovery Paula Gradu Tijana Zrnic Yixin Wang Michael I. Jordan CML 26 8 0 11 Aug 2022
Amortized Inference for Causal Structure Learning Lars Lorch Scott Sussex Jonas Rothfuss Andreas Krause Bernhard Schölkopf CML 29 60 0 25 May 2022
On Testability of the Front-Door Model via Verma Constraints Rohit Bhattacharya Razieh Nabi 32 8 0 01 Mar 2022
gCastle: A Python Toolbox for Causal Discovery Keli Zhang Shengyu Zhu Marcus Kalander Ignavier Ng Junjian Ye Zhitang Chen Lujia Pan CML 27 60 0 30 Nov 2021
Towards Federated Bayesian Network Structure Learning with Continuous Optimization Ignavier Ng Anton van den Hengel FedML 47 38 0 18 Oct 2021
DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions Amit Sharma Vasilis Syrgkanis Cheng Zhang Emre Kıcıman 16 26 0 27 Aug 2021
Unsuitability of NOTEARS for Causal Graph Discovery Marcus Kaiser Maksim Sipos CML 27 65 0 12 Apr 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery M. Vowels Necati Cihan Camgöz Richard Bowden CML 37 296 0 03 Mar 2021
Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy To Game Alexander G. Reisach C. Seiler S. Weichwald CML 21 136 0 26 Feb 2021
Learning Sparse Nonparametric DAGs Xun Zheng Chen Dan Bryon Aragam Pradeep Ravikumar Eric P. Xing CML 113 258 0 29 Sep 2019