Differentiable Causal Discovery Under Latent Interventions

Differentiable Causal Discovery Under Latent Interventions

4 March 2022

Gonccalo R. A. Faria

André F. T. Martins

Mário A. T. Figueiredo

Papers citing "Differentiable Causal Discovery Under Latent Interventions"

19 / 19 papers shown

Title
Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions Juan L. Gamella Armeen Taeb C. Heinze-Deml Peter Buhlmann CML 67 7 0 13 Mar 2025
Graph Agnostic Causal Bayesian Optimisation Sumantrak Mukherjee Mengyan Zhang Seth Flaxman Sebastian Vollmer CML 28 0 0 05 Nov 2024
$ψ$ DAG: Projected Stochastic Approximation Iteration for DAG Structure Learning Klea Ziu Slavomír Hanzely Loka Li Kun Zhang Martin Takáč Dmitry Kamzolov 33 1 0 31 Oct 2024
$Revisiting Differentiable Structure Learning: Inconsistency of $\ell_1$ Penalty and Beyond$ Revisiting Differentiable Structure Learning: Inconsistency of $\ell_1$ Penalty and Beyond Kaifeng Jin Ignavier Ng Kun Zhang Biwei Huang 30 0 0 24 Oct 2024
CAnDOIT: Causal Discovery with Observational and Interventional Data from Time-Series Luca Castri Sariah Mghames Marc Hanheide Nicola Bellotto CML 16 1 0 03 Oct 2024
Disentangled Representations for Causal Cognition Filippo Torresan Manuel Baltieri CML 19 1 0 30 Jun 2024
OCDB: Revisiting Causal Discovery with a Comprehensive Benchmark and Evaluation Framework Wei Zhou Hong Huang Guowen Zhang Ruize Shi Kehan Yin Yuanyuan Lin Bang Liu CML 24 1 0 07 Jun 2024
BISCUIT: Causal Representation Learning from Binary Interactions Phillip Lippe Sara Magliacane Sindy Lowe Yuki M. Asano Taco S. Cohen E. Gavves CML 23 16 0 16 Jun 2023
Learning nonparametric latent causal graphs with unknown interventions Yibo Jiang Bryon Aragam CML 6 24 0 05 Jun 2023
Passive learning of active causal strategies in agents and language models Andrew Kyle Lampinen Stephanie C. Y. Chan Ishita Dasgupta A. Nam Jane X. Wang 17 15 0 25 May 2023
Structure Learning with Continuous Optimization: A Sober Look and Beyond Ignavier Ng Biwei Huang Kun Zhang CML 6 21 0 04 Apr 2023
Distinguishing Cause from Effect on Categorical Data: The Uniform Channel Model Mário A. T. Figueiredo Catarina A. Oliveira CML 19 1 0 14 Mar 2023
BaCaDI: Bayesian Causal Discovery with Unknown Interventions Alexander Hagele Jonas Rothfuss Lars Lorch Vignesh Ram Somnath Bernhard Schölkopf Andreas Krause CML BDL 28 19 0 03 Jun 2022
Bayesian Structure Learning with Generative Flow Networks T. Deleu António Góis Chris C. Emezue M. Rankawat Simon Lacoste-Julien Stefan Bauer Yoshua Bengio BDL 21 143 0 28 Feb 2022
On the Role of Entropy-based Loss for Learning Causal Structures with Continuous Optimization Weilin Chen Jie Qiao Ruichu Cai Z. Hao CML 20 1 0 05 Jun 2021
On the Convergence of Continuous Constrained Optimization for Structure Learning Ignavier Ng Sébastien Lachapelle Nan Rosemary Ke Simon Lacoste-Julien Kun Zhang 16 31 0 23 Nov 2020
Masked Gradient-Based Causal Structure Learning Ignavier Ng Shengyu Zhu Zhuangyan Fang Haoyang Li Zhitang Chen Jun Wang CML 72 116 0 18 Oct 2019
Learning Sparse Nonparametric DAGs Xun Zheng Chen Dan Bryon Aragam Pradeep Ravikumar Eric P. Xing CML 101 254 0 29 Sep 2019
Causal Inference in the Presence of Latent Variables and Selection Bias Peter Spirtes Christopher Meek Thomas S. Richardson CML 133 434 0 20 Feb 2013