Stable Differentiable Causal Discovery

Stable Differentiable Causal Discovery

17 November 2023

Achille Nazaret

Papers citing "Stable Differentiable Causal Discovery"

15 / 15 papers shown

Title
Deriving Causal Order from Single-Variable Interventions: Guarantees & Algorithm Mathieu Chevalley Patrick Schwab Arash Mehrjou 96 1 0 28 May 2024
Structure Learning with Continuous Optimization: A Sober Look and Beyond Ignavier Ng Erdun Gao Kun Zhang CML 63 21 0 04 Apr 2023
Amortized Inference for Causal Structure Learning Lars Lorch Scott Sussex Jonas Rothfuss Andreas Krause Bernhard Schölkopf CML 76 65 0 25 May 2022
Score matching enables causal discovery of nonlinear additive noise models Paul Rolland Volkan Cevher Matthäus Kleindessner Chris Russel Bernhard Schölkopf Dominik Janzing Francesco Locatello CML 85 89 0 08 Mar 2022
Efficient Neural Causal Discovery without Acyclicity Constraints Phillip Lippe Taco S. Cohen E. Gavves CML 45 72 0 22 Jul 2021
Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy To Game Alexander G. Reisach C. Seiler S. Weichwald CML 59 141 0 26 Feb 2021
On the Convergence of Continuous Constrained Optimization for Structure Learning Ignavier Ng Sébastien Lachapelle Nan Rosemary Ke Simon Lacoste-Julien Kun Zhang 72 38 0 23 Nov 2020
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks Dennis L. Wei Tian Gao Yue Yu CML 75 71 0 18 Oct 2020
Scaling structural learning with NO-BEARS to infer causal transcriptome networks Hao-Chih Lee M. Danieletto Riccardo Miotto S. Cherng J. Dudley CML 40 46 0 31 Oct 2019
Learning Sparse Nonparametric DAGs Xun Zheng Chen Dan Bryon Aragam Pradeep Ravikumar Eric Xing CML 153 260 0 29 Sep 2019
Gradient-Based Neural DAG Learning Sébastien Lachapelle P. Brouillard T. Deleu Simon Lacoste-Julien BDL CML 52 275 0 05 Jun 2019
DAG-GNN: DAG Structure Learning with Graph Neural Networks Yue Yu Jie Chen Tian Gao Mo Yu BDL CML GNN 71 486 0 22 Apr 2019
Constraint-based Causal Discovery from Multiple Interventions over Overlapping Variable Sets Sofia Triantafillou Ioannis Tsamardinos CML 129 149 0 10 Mar 2014
CAM: Causal additive models, high-dimensional order search and penalized regression Peter Buhlmann J. Peters J. Ernest CML 112 323 0 06 Oct 2013
Causal Discovery with Continuous Additive Noise Models Jonas Peters Joris Mooij Dominik Janzing Bernhard Schölkopf CML 100 569 0 26 Sep 2013

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