Learning Neural Causal Models with Active Interventions

6 September 2021

Stefan Bauer

Papers citing "Learning Neural Causal Models with Active Interventions"

31 / 31 papers shown

Title
Can Large Language Models Help Experimental Design for Causal Discovery? Junyi Li Yongqiang Chen Chenxi Liu Qianyi Cai Tongliang Liu Bo Han Kun Zhang Hui Xiong CML 65 0 0 03 Mar 2025
IGDA: Interactive Graph Discovery through Large Language Model Agents Alex Havrilla David Alvarez-Melis Nicolò Fusi AI4CE 45 0 0 24 Feb 2025
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning Hao-ming Lin Wenhao Ding Jian Chen Laixi Shi Jiacheng Zhu Bo-wen Li Ding Zhao OffRL CML 44 0 0 15 Jul 2024
The Essential Role of Causality in Foundation World Models for Embodied AI Tarun Gupta Wenbo Gong Chao Ma Nick Pawlowski Agrin Hilmkil ... Jianfeng Gao Stefan Bauer Danica Kragic Bernhard Schölkopf Cheng Zhang 30 15 0 06 Feb 2024
CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning Andreas Sauter N. Botteghi Erman Acar Aske Plaat CML 11 3 0 30 Jan 2024
Multi-omics Prediction from High-content Cellular Imaging with Deep Learning Rahil Mehrizi Arash Mehrjou M. Alegro Yi Zhao Benedetta Carbone ... S. Sanford Hakan Keles M. Bantscheff Cuong Nguyen Patrick Schwab 13 4 0 15 Jun 2023
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges Ziyuan Zhou Guanjun Liu Ying-Si Tang 33 14 0 17 May 2023
DiscoGen: Learning to Discover Gene Regulatory Networks Nan Rosemary Ke Sara-Jane Dunn J. Bornschein Silvia Chiappa Mélanie Rey ... David Barrett M. Botvinick Anirudh Goyal Michael C. Mozer Danilo Jimenez Rezende BDL CML 14 4 0 12 Apr 2023
Differentiable Multi-Target Causal Bayesian Experimental Design Yashas Annadani P. Tigas Desi R. Ivanova Andrew Jesson Y. Gal Adam Foster Stefan Bauer BDL CML 18 13 0 21 Feb 2023
GFlowNets for AI-Driven Scientific Discovery Moksh Jain T. Deleu Jason S. Hartford Cheng-Hao Liu Alex Hernandez-Garcia Yoshua Bengio AI4CE 21 45 0 01 Feb 2023
$Trust Your $\nabla$: Gradient-based Intervention Targeting for Causal Discovery$ Trust Your $\nabla$ : Gradient-based Intervention Targeting for Causal Discovery Mateusz Olko Michal Zajac A. Nowak Nino Scherrer Yashas Annadani Stefan Bauer Lukasz Kucinski Piotr Milos CML 24 2 0 24 Nov 2022
Bayesian learning of Causal Structure and Mechanisms with GFlowNets and Variational Bayes Mizu Nishikawa-Toomey T. Deleu Jithendaraa Subramanian Yoshua Bengio Laurent Charlin BDL CML 26 29 0 04 Nov 2022
CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data Mathieu Chevalley Yusuf Roohani Arash Mehrjou J. Leskovec Patrick Schwab CML 18 36 0 31 Oct 2022
Learning Latent Structural Causal Models Jithendaraa Subramanian Yashas Annadani Ivaxi Sheth Nan Rosemary Ke T. Deleu Stefan Bauer Derek Nowrouzezahrai Samira Ebrahimi Kahou CML 22 7 0 24 Oct 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Bo-wen Li Ding Zhao 66 45 0 16 Sep 2022
Intrinsically Motivated Learning of Causal World Models Louis Annabi CLL CML DRL LRM 11 1 0 09 Aug 2022
Neural Design for Genetic Perturbation Experiments Aldo Pacchiano Drausin Wulsin Robert A. Barton L. Voloch 27 4 0 26 Jul 2022
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning Wenhao Ding Haohong Lin Bo-wen Li Ding Zhao LRM 16 37 0 19 Jul 2022
A Meta-Reinforcement Learning Algorithm for Causal Discovery Andreas Sauter Erman Acar Vincent François-Lavet CML 13 19 0 18 Jul 2022
Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models Alex Lamb Riashat Islam Yonathan Efroni Aniket Didolkar Dipendra Kumar Misra Dylan J. Foster Lekan Molu Rajan Chari A. Krishnamurthy John Langford 33 24 0 17 Jul 2022
Latent Variable Models for Bayesian Causal Discovery Jithendaraa Subramanian Yashas Annadani Ivaxi Sheth Stefan Bauer Derek Nowrouzezahrai Samira Ebrahimi Kahou CML BDL 14 1 0 12 Jul 2022
On the Generalization and Adaption Performance of Causal Models Nino Scherrer Anirudh Goyal Stefan Bauer Yoshua Bengio Nan Rosemary Ke CML OOD BDL TTA 23 8 0 09 Jun 2022
Active Bayesian Causal Inference Christian Toth Lars Lorch Christian Knoll Andreas Krause Franz Pernkopf Robert Peharz Julius von Kügelgen 40 26 0 04 Jun 2022
BaCaDI: Bayesian Causal Discovery with Unknown Interventions Alexander Hagele Jonas Rothfuss Lars Lorch Vignesh Ram Somnath Bernhard Schölkopf Andreas Krause CML BDL 33 19 0 03 Jun 2022
Towards Fine-grained Causal Reasoning and QA Linyi Yang Zhen Wang Yuxiang Wu Jie Yang Yue Zhang 22 15 0 15 Apr 2022
Interventions, Where and How? Experimental Design for Causal Models at Scale P. Tigas Yashas Annadani Andrew Jesson Bernhard Schölkopf Y. Gal Stefan Bauer CML 29 48 0 03 Mar 2022
Unicorn: Reasoning about Configurable System Performance through the lens of Causality Md Shahriar Iqbal R. Krishna Mohammad Ali Javidian Baishakhi Ray Pooyan Jamshidi LRM 11 27 0 20 Jan 2022
FedDAG: Federated DAG Structure Learning Erdun Gao Junjia Chen Li Shen Tongliang Liu Mingming Gong H. Bondell FedML 37 17 0 07 Dec 2021
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery Chris Cundy Aditya Grover Stefano Ermon CML 40 72 0 06 Dec 2021
GeneDisco: A Benchmark for Experimental Design in Drug Discovery Arash Mehrjou Ashkan Soleymani Andrew Jesson Pascal Notin Y. Gal Stefan Bauer Patrick Schwab 11 19 0 22 Oct 2021
Learning Sparse Nonparametric DAGs Xun Zheng Chen Dan Bryon Aragam Pradeep Ravikumar Eric P. Xing CML 106 258 0 29 Sep 2019