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 Kun Zhang 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 17 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 21 1 0 25 Jun 2024
Doubly Robust Structure Identification from Temporal Data Emmanouil Angelis Francesco Quinzan Ashkan Soleymani P. Jaillet Stefan Bauer CML OOD 37 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 24 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 20 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 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 Kun Zhang 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 12 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 22 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 Kun Zhang 43 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 18 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 11 0 0 15 Nov 2020
Causal Modeling with Stochastic Confounders Thanh Vinh Vo Pengfei Wei Wicher P. Bergsma Tze-Yun Leong BDL CML 14 0 0 24 Apr 2020
Towards Efficient Local Causal Structure Learning shuai Yang Hao Wang Kui Yu Fuyuan Cao Xue-gang Hu CML 17 3 0 03 Oct 2019
Likelihood-Free Overcomplete ICA and Applications in Causal Discovery Chenwei Ding Biwei Huang Kun Zhang Dacheng Tao CML 27 6 0 04 Sep 2019
Causal Discovery from Heterogeneous/Nonstationary Data with Independent Changes Erdun Gao Kun Zhang 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 57 61 0 25 Oct 2012