Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models

26 May 2019

Papers citing "Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models"

37 / 37 papers shown

Title
Multi-Domain Causal Discovery in Bijective Causal Models Kasra Jalaldoust Saber Salehkaleybar Negar Kiyavash CML 69 0 0 30 Apr 2025
Identification of Nonparametric Dynamic Causal Structure and Latent Process in Climate System Minghao Fu Zhen Zhang Zijian Li Yujia Zheng Ignavier Ng Yingyao Hu Anton van den Hengel CML 50 0 0 21 Jan 2025
Causal Discovery in Semi-Stationary Time Series Shanyun Gao Raghavendra Addanki Tong Yu Ryan A. Rossi Murat Kocaoglu AI4TS 44 5 0 10 Jul 2024
Causal Discovery-Driven Change Point Detection in Time Series Shanyun Gao Raghavendra Addanki Tong Yu Ryan A. Rossi Murat Kocaoglu AI4TS 12 1 0 10 Jul 2024
Spatio-Temporal Graphical Counterfactuals: An Overview Mingyu Kang Duxin Chen Ziyuan Pu Jianxi Gao Wenwu Yu CML 43 1 0 02 Jul 2024
Identifying Nonstationary Causal Structures with High-Order Markov Switching Models Carles Balsells-Rodas Yixin Wang P. Mediano Yingzhen Li CML 16 1 0 25 Jun 2024
Doubly Robust Structure Identification from Temporal Data Emmanouil Angelis Francesco Quinzan Ashkan Soleymani P. Jaillet Stefan Bauer CML OOD 34 2 0 10 Nov 2023
MCNS: Mining Causal Natural Structures Inside Time Series via A Novel Internal Causality Scheme Yuanhao Liu Dehui Du Zihan Jiang Anyan Huang Yiyang Li BDL CML AI4TS 19 0 0 13 Sep 2023
Towards Probabilistic Causal Discovery, Inference & Explanations for Autonomous Drones in Mine Surveying Tasks Ricardo Cannizzaro Rhys Howard P. Lewińska Lars Kunze 32 4 0 19 Aug 2023
Mitigating Cold-start Forecasting using Cold Causal Demand Forecasting Model Zahra Fatemi Minh-Thu T. Huynh Elena Zheleva Zamir Syed Xiaojun Di AI4TS 18 3 0 15 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
AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges Qian Cheng Doyen Sahoo Amrita Saha Wenjing Yang Chenghao Liu Gerald Woo Manpreet Singh Silvio Saverese S. Hoi 37 17 0 10 Apr 2023
Causal Discovery from Temporal Data: An Overview and New Perspectives Chang Gong Di Yao Chuzhe Zhang Wenbin Li Jingping Bi AI4TS CML 16 17 0 17 Mar 2023
Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting An Zhang Fang Liu Wenchang Ma Zhibo Cai Xiang Wang Tat-Seng Chua CML 40 5 0 06 Mar 2023
Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders Defu Cao James Enouen Yujing Wang Xiangchen Song Chuizheng Meng Hao Niu Yan Liu CML 35 21 0 04 Mar 2023
Estimating Treatment Effects in Continuous Time with Hidden Confounders Defu Cao James Enouen Yong-Jin Liu CML 35 2 0 19 Feb 2023
DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets Lazar Atanackovic Alexander Tong Bo Wang Leo J. Lee Yoshua Bengio Jason S. Hartford BDL 34 21 0 08 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
A Survey on Causal Representation Learning and Future Work for Medical Image Analysis Chang-Tien Lu OOD BDL CML MedIm 26 0 0 28 Oct 2022
Temporally Disentangled Representation Learning Weiran Yao Guangyi Chen Anton van den Hengel CML BDL OOD 32 48 0 24 Oct 2022
Learning domain-specific causal discovery from time series Xinyue Wang Konrad Paul Kording BDL CML AI4TS 10 0 0 12 Sep 2022
Differentiable Invariant Causal Discovery Yu-Xiang Wang An Zhang Xiang Wang Yancheng Yuan Xiangnan He Tat-Seng Chua OOD CML 32 1 0 31 May 2022
ARISE: ApeRIodic SEmi-parametric Process for Efficient Markets without Periodogram and Gaussianity Assumptions Shao-Qun Zhang Zhi-Hua Zhou AI4TS 17 3 0 08 Nov 2021
Dynamic Causal Bayesian Optimization Virginia Aglietti Neil Dhir Javier I. González Theodoros Damoulas 26 22 0 26 Oct 2021
Action-Sufficient State Representation Learning for Control with Structural Constraints Erdun Gao Chaochao Lu Liu Leqi José Miguel Hernández-Lobato Clark Glymour Bernhard Schölkopf Anton van den Hengel 33 32 0 12 Oct 2021
Causal Discovery from Conditionally Stationary Time Series Carles Balsells-Rodas Ruibo Tu Hedvig Kjellström Yingzhen Li Gabriele Schweikert Hedvig Kjellstrom Yingzhen Li BDL CML AI4TS 39 5 0 12 Oct 2021
Optimization-based Causal Estimation from Heterogenous Environments Mingzhang Yin Yixin Wang David M. Blei OOD 82 17 0 24 Sep 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
Towards Efficient Local Causal Structure Learning shuai Yang Hao Wang Kui Yu Fuyuan Cao Xindong Wu CML 11 23 0 28 Feb 2021
Causal Inference for Time series Analysis: Problems, Methods and Evaluation Raha Moraffah Paras Sheth Mansooreh Karami Anchit Bhattacharya Qianru Wang Anique Tahir A. Raglin Huan Liu CML AI4TS 77 104 0 11 Feb 2021
Causal Inference from Slowly Varying Nonstationary Processes Kang Du Yu Xiang 40 6 0 23 Dec 2020
Discovering long term dependencies in noisy time series data using deep learning A. Kurochkin AI4TS 6 0 0 15 Nov 2020
Causal Modeling with Stochastic Confounders Thanh Vinh Vo Pengfei Wei Wicher P. Bergsma Tze-Yun Leong BDL CML 9 0 0 24 Apr 2020
Towards Efficient Local Causal Structure Learning shuai Yang Hao Wang Kui Yu Fuyuan Cao Xue-gang Hu CML 12 3 0 03 Oct 2019
Likelihood-Free Overcomplete ICA and Applications in Causal Discovery Chenwei Ding Biwei Huang Anton van den Hengel Dacheng Tao CML 22 6 0 04 Sep 2019
Causal Discovery from Heterogeneous/Nonstationary Data with Independent Changes Erdun Gao Anton van den Hengel Jiji Zhang Joseph Ramsey Ruben Sanchez-Romero Clark Glymour Bernhard Schölkopf 28 220 0 05 Mar 2019
Ancestor Sampling for Particle Gibbs Fredrik Lindsten Michael I. Jordan Thomas B. Schon 54 61 0 25 Oct 2012