Causal Discovery from Heterogeneous/Nonstationary Data with Independent Changes

5 March 2019

Papers citing "Causal Discovery from Heterogeneous/Nonstationary Data with Independent Changes"

40 / 40 papers shown

Title
Characterization and Learning of Causal Graphs from Hard Interventions Zihan Zhou Muhammad Qasim Elahi Murat Kocaoglu CML 82 0 0 02 May 2025
Multi-Domain Causal Discovery in Bijective Causal Models Kasra Jalaldoust Saber Salehkaleybar Negar Kiyavash CML 64 0 0 30 Apr 2025
Causal Temporal Regime Structure Learning Abdellah Rahmani Pascal Frossard CML 75 2 0 20 Feb 2025
Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms R. Karlsson Jesse H. Krijthe CML 47 0 0 10 Feb 2025
SpaceTime: Causal Discovery from Non-Stationary Time Series Sarah Mameche Lénaïg Cornanguer Urmi Ninad Jilles Vreeken CML AI4TS 35 0 0 20 Jan 2025
SSL Framework for Causal Inconsistency between Structures and Representations Hang Chen Xinyu Yang Keqing Du Wenya Wang 52 2 0 03 Jan 2025
Joint Identifiability of Cross-Domain Recommendation via Hierarchical Subspace Disentanglement Jing Du Zesheng Ye Bin Guo Zhiwen Yu Lina Yao 36 1 0 06 Apr 2024
Sample, estimate, aggregate: A recipe for causal discovery foundation models Menghua Wu Yujia Bao Regina Barzilay Tommi Jaakkola CML 49 7 0 02 Feb 2024
On the Three Demons in Causality in Finance: Time Resolution, Nonstationarity, and Latent Factors Xinshuai Dong Haoyue Dai Yewen Fan Songyao Jin Sathyamoorthy Rajendran Kun Zhang CML 36 1 0 28 Dec 2023
Discovering Mixtures of Structural Causal Models from Time Series Data Sumanth Varambally Yi-An Ma Rose Yu 20 4 0 10 Oct 2023
Case Studies of Causal Discovery from IT Monitoring Time Series Ali Aït-Bachir Charles K. Assaad Christophe de Bignicourt Emilie Devijver Simon Ferreira Éric Gaussier Hosein Mohanna Lei Zan CML AI4TS 30 8 0 28 Jul 2023
Causality-oriented robustness: exploiting general noise interventions Xinwei Shen Peter Buhlmann Armeen Taeb OOD 58 7 0 18 Jul 2023
Conditionally Invariant Representation Learning for Disentangling Cellular Heterogeneity H. Aliee Ferdinand Kapl Soroor Hediyeh-zadeh Fabian J. Theis CML 20 6 0 02 Jul 2023
Partial Identifiability for Domain Adaptation Lingjing Kong Shaoan Xie Weiran Yao Yujia Zheng Guan-Hong Chen P. Stojanov Victor Akinwande Kun Zhang 40 8 0 10 Jun 2023
Nonparametric Identifiability of Causal Representations from Unknown Interventions Julius von Kügelgen M. Besserve Wendong Liang Luigi Gresele Armin Kekić Elias Bareinboim David M. Blei Bernhard Schölkopf CML 18 56 0 01 Jun 2023
Discovering Causal Relations and Equations from Data Gustau Camps-Valls Andreas Gerhardus Urmi Ninad Gherardo Varando Georg Martius E. Balaguer-Ballester Ricardo Vinuesa Emiliano Díaz L. Zanna Jakob Runge PINN AI4Cl AI4CE CML 35 72 0 21 May 2023
Open problems in causal structure learning: A case study of COVID-19 in the UK Anthony C. Constantinou N. K. Kitson Yang Liu Kiattikun Chobtham Arian Hashemzadeh Praharsh Nanavati R. Mbuvha Bruno Petrungaro CML 26 9 0 05 May 2023
A Survey on Causal Discovery Methods for I.I.D. and Time Series Data Uzma Hasan Emam Hossain Md. Osman Gani CML AI4TS 31 24 0 27 Mar 2023
On the Unlikelihood of D-Separation Itai Feigenbaum Haiquan Wang Shelby Heinecke Juan Carlos Niebles Weiran Yao Caiming Xiong Devansh Arpit CML 28 1 0 10 Mar 2023
eCDANs: Efficient Temporal Causal Discovery from Autocorrelated and Non-stationary Data (Student Abstract) Muhammad Hasan Ferdous Uzma Hasan Md. Osman Gani 20 2 0 06 Mar 2023
On the Interventional Kullback-Leibler Divergence J. Wildberger Siyuan Guo Arnab Bhattacharyya Bernhard Schölkopf OOD CML 31 6 0 10 Feb 2023
CDANs: Temporal Causal Discovery from Autocorrelated and Non-Stationary Time Series Data Muhammad Hasan Ferdous Uzma Hasan Md. Osman Gani CML 30 3 0 07 Feb 2023
Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver Behaviour Rhys Howard Lars Kunze CML 23 7 0 31 Jan 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Biwei Huang Xiwei Xu Chen Wang Liming Zhu Lina Yao Kun Zhang AI4CE 50 11 0 29 Jan 2023
Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data Devansh Arpit M. Fernández Itai Feigenbaum Weiran Yao Chenghao Liu ... Haiquan Wang Stephen Hoi Caiming Xiong Kun Zhang Juan Carlos Niebles CML 21 1 0 25 Jan 2023
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 28 11 0 07 Nov 2022
A Survey on Causal Representation Learning and Future Work for Medical Image Analysis Chang-Tien Lu OOD BDL CML MedIm 24 0 0 28 Oct 2022
Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesis Ronan Perry Julius von Kügelgen Bernhard Schölkopf 41 48 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 41 19 0 03 Jun 2022
Amortized Inference for Causal Structure Learning Lars Lorch Scott Sussex Jonas Rothfuss Andreas Krause Bernhard Schölkopf CML 26 60 0 25 May 2022
Causal Machine Learning for Healthcare and Precision Medicine Pedro Sanchez J. Voisey Tian Xia Hannah I. Watson Alison Q. OÑeil Sotirios A. Tsaftaris OOD CML 37 108 0 23 May 2022
From Statistical to Causal Learning Bernhard Schölkopf Julius von Kügelgen CML 28 45 0 01 Apr 2022
Factored Adaptation for Non-Stationary Reinforcement Learning Fan Feng Biwei Huang Kun Zhang Sara Magliacane CML OffRL 37 32 0 30 Mar 2022
Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective Yuejiang Liu Riccardo Cadei Jonas Schweizer Sherwin Bahmani Alexandre Alahi OOD TTA 28 51 0 29 Nov 2021
Data-driven discovery of interpretable causal relations for deep learning material laws with uncertainty propagation Xiao Sun B. Bahmani Nikolaos N. Vlassis WaiChing Sun Yanxun Xu CML AI4CE 63 26 0 20 May 2021
Data Generating Process to Evaluate Causal Discovery Techniques for Time Series Data A. Lawrence Marcus Kaiser Rui Sampaio Maksim Sipos CML AI4TS 16 17 0 16 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
Causal Inference from Slowly Varying Nonstationary Processes Kang Du Yu Xiang 31 6 0 23 Dec 2020
Causal Network Learning from Multiple Interventions of Unknown Manipulated Targets Y. He Z. Geng CML 45 13 0 27 Oct 2016
A Discovery Algorithm for Directed Cyclic Graphs Thomas S. Richardson CML 78 193 0 13 Feb 2013