DoWhy: An End-to-End Library for Causal Inference

9 November 2020

Papers citing "DoWhy: An End-to-End Library for Causal Inference"

50 / 55 papers shown

Title
Robust Root Cause Diagnosis using In-Distribution Interventions Lokesh Nagalapatti Ashutosh Srivastava Sunita Sarawagi Amit Sharma 32 0 0 02 May 2025
Consistent Causal Inference of Group Effects in Non-Targeted Trials with Finitely Many Effect Levels Georgios Mavroudeas M. Magdon-Ismail Kristin P. Bennett Jason Kuruzovich 29 0 0 22 Apr 2025
Causal DAG Summarization (Full Version) Anna Zeng Michael Cafarella Batya Kenig Markos Markakis Brit Youngmann Babak Salimi CML 45 0 0 21 Apr 2025
Reimagining Urban Science: Scaling Causal Inference with Large Language Models Yutong Xia Ao Qu Yunhan Zheng Yihong Tang Dingyi Zhuang ... Cathy Wu R. Zimmermann Lijun Sun Roger Zimmermann Jinhua Zhao AI4CE 75 0 0 15 Apr 2025
SCOOP: A Framework for Proactive Collaboration and Social Continual Learning through Natural Language Interaction andCausal Reasoning Dimitri Ognibene Sabrina Patania Luca Annese Cansu Koyuturk Franca Garzotto Giuseppe Vizzari Azzurra Ruggeri Simone Colombani 41 0 0 13 Mar 2025
Causal Invariance Learning via Efficient Optimization of a Nonconvex Objective Zhenyu Wang Yifan Hu Peter Buhlmann Zijian Guo 106 1 0 16 Dec 2024
Exploratory Models of Human-AI Teams: Leveraging Human Digital Twins to Investigate Trust Development Daniel Nguyen Myke C. Cohen Hsien-Te Kao Grant Engberson Louis Penafiel Spencer Lynch Svitlana Volkova 26 1 0 01 Nov 2024
Beyond Correlation: Incorporating Counterfactual Guidance to Better Support Exploratory Visual Analysis Arran Zeyu Wang D. Borland David Gotz CML 40 2 0 28 Aug 2024
Valuing an Engagement Surface using a Large Scale Dynamic Causal Model Abhimanyu Mukerji Sushant More Ashwin Viswanathan Kannan Lakshmi Ravi Hua Chen Naman Kohli Chris Khawand Dinesh Mandalapu 22 0 0 21 Aug 2024
FairPFN: Transformers Can do Counterfactual Fairness Jake Robertson Noah Hollmann Noor H. Awad Frank Hutter 36 4 0 08 Jul 2024
Causality for Tabular Data Synthesis: A High-Order Structure Causal Benchmark Framework Ruibo Tu Zineb Senane Lele Cao Cheng Zhang Hedvig Kjellström G. Henter CML 51 4 0 12 Jun 2024
IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmark Fredrik D. Johansson CML 34 0 0 25 May 2024
CausalPlayground: Addressing Data-Generation Requirements in Cutting-Edge Causality Research Andreas Sauter Erman Acar Aske Plaat SyDa CML 37 1 0 21 May 2024
Weakly-supervised causal discovery based on fuzzy knowledge and complex data complementarity Wenrui Li Wei Zhang Qinghao Zhang Xuegong Zhang Xiaowo Wang 31 0 0 14 May 2024
Multiply-Robust Causal Change Attribution Victor Quintas-Martinez M. T. Bahadori Eduardo Santiago Jeff Mu Dominik Janzing David Heckerman CML 34 1 0 12 Apr 2024
Towards Automated Causal Discovery: a case study on 5G telecommunication data Konstantina Biza Antonios Ntroumpogiannis Sofia Triantafillou Ioannis Tsamardinos 31 0 0 22 Feb 2024
ChatDiet: Empowering Personalized Nutrition-Oriented Food Recommender Chatbots through an LLM-Augmented Framework Zhongqi Yang Elahe Khatibi N. Nagesh Mahyar Abbasian Iman Azimi Ramesh C. Jain Amir M. Rahmani 35 34 0 18 Feb 2024
Accelerating Causal Algorithms for Industrial-scale Data: A Distributed Computing Approach with Ray Framework Vishal Verma Vinod Reddy Jaiprakash Ravi 29 0 0 22 Jan 2024
Extracting Self-Consistent Causal Insights from Users Feedback with LLMs and In-context Learning Sara Abdali Anjali Parikh Steve Lim Emre Kiciman 10 6 0 11 Dec 2023
TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models Javier González Cliff Wong Zelalem Gero Jass Bagga Risa Ueno ... R. Leidner B. Piening Tristan Naumann Carlo Bifulco Hoifung Poon 23 4 0 02 Nov 2023
rTisane: Externalizing conceptual models for data analysis increases engagement with domain knowledge and improves statistical model quality Eunice Jun Edward Misback Jeffrey Heer René Just 9 0 0 25 Oct 2023
Assessing the Causal Impact of Humanitarian Aid on Food Security Jordi Cerda Bautista José María Tárraga Vasileios Sitokonstantinou Gustau Camps-Valls 31 1 0 17 Oct 2023
Inferring physical laws by artificial intelligence based causal models Jorawar Singh Kishor Bharti Arvind CML AI4CE 18 0 0 08 Sep 2023
Causal Inference for Banking Finance and Insurance A Survey Satyam Kumar Yelleti Vivek V. Ravi I. Bose CML 41 3 0 31 Jul 2023
Causal-learn: Causal Discovery in Python Yujia Zheng Erdun Gao Wei Chen Joseph Ramsey Biwei Huang Ruichu Cai Shohei Shimizu Peter Spirtes Anton van den Hengel CML 33 66 0 31 Jul 2023
VISPUR: Visual Aids for Identifying and Interpreting Spurious Associations in Data-Driven Decisions Xian Teng Yongsu Ahn Y. Lin CML 30 4 0 26 Jul 2023
balance -- a Python package for balancing biased data samples T. Sarig Tal Galili Roee Eilat 4 3 0 12 Jul 2023
Benchmarking Bayesian Causal Discovery Methods for Downstream Treatment Effect Estimation Chris C. Emezue Alexandre Drouin T. Deleu Stefan Bauer Yoshua Bengio CML 35 2 0 11 Jul 2023
Predictive Coding beyond Correlations Tommaso Salvatori Luca Pinchetti Amine MĆharrak Beren Millidge Thomas Lukasiewicz BDL CML 35 3 0 27 Jun 2023
Improved Churn Causal Analysis Through Restrained High-Dimensional Feature Space Effects in Financial Institutions David Hason Rudd Huan Huo Guandong Xu 16 8 0 23 Apr 2023
Causal Analysis of Customer Churn Using Deep Learning David Hason Rudd Huan Huo Guandong Xu CML 16 5 0 20 Apr 2023
Bayesian Causal Inference in Doubly Gaussian DAG-probit Models R. Tahmasbi Keyvan Tahmasbi 19 0 0 12 Apr 2023
Causal Dependence Plots Joshua R. Loftus Lucius E.J. Bynum Sakina Hansen CML 33 1 0 07 Mar 2023
Balancing Approach for Causal Inference at Scale Sicheng Lin Meng Xu Xi Zhang Shih-Kang Chao Ying Huang Xiaolin Shi CML 13 4 0 10 Feb 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 Anton van den Hengel Juan Carlos Niebles CML 32 1 0 25 Jan 2023
Evaluation of Induced Expert Knowledge in Causal Structure Learning by NOTEARS Jawad Chowdhury Rezaur Rashid G. Terejanu CML 24 9 0 04 Jan 2023
On How AI Needs to Change to Advance the Science of Drug Discovery Kieran Didi Matej Zečević CML 16 1 0 23 Dec 2022
Out-of-sample scoring and automatic selection of causal estimators E. Kraev Timo Flesch H. Lekunze Mark Harley Pere P. Morell CML 6 0 0 20 Dec 2022
On Root Cause Localization and Anomaly Mitigation through Causal Inference Xiao Han Lu Zhang Yongkai Wu Shuhan Yuan 26 7 0 08 Dec 2022
Evaluating Digital Agriculture Recommendations with Causal Inference Ilias Tsoumas Georgios Giannarakis Vasileios Sitokonstantinou Alkiviadis Koukos D. Loka Nikolaos S. Bartsotas C. Kontoes Ioannis Athanasiadis 24 10 0 30 Nov 2022
Applications of statistical causal inference in software engineering Julien Siebert CML 30 31 0 21 Nov 2022
Evaluating Digital Tools for Sustainable Agriculture using Causal Inference Ilias Tsoumas Georgios Giannarakis Vasileios Sitokonstantinou Alkiviadis Koukos D. Loka Nikolaos S. Bartsotas C. Kontoes Ioannis Athanasiadis 16 2 0 06 Nov 2022
Grasping Causality for the Explanation of Criticality for Automated Driving Tjark Koopmann Christian Neurohr Lina Putze Lukas Westhofen Roman Gansch Ahmad Adee 28 4 0 27 Oct 2022
Causal inference in drug discovery and development T. Michoel J. Zhang CML 36 17 0 29 Sep 2022
Membership Inference Attacks and Generalization: A Causal Perspective Teodora Baluta Shiqi Shen S. Hitarth Shruti Tople Prateek Saxena OOD MIACV 40 18 0 18 Sep 2022
A Causal Approach for Business Optimization: Application on an Online Marketplace Naama Parush Ohad Levinkron-Fisch H. Shteingart Amir Bar Sela Amir Zilberman Jake Klein 19 0 0 04 Jul 2022
DoWhy-GCM: An extension of DoWhy for causal inference in graphical causal models Patrick Blobaum P. Götz Kailash Budhathoki Atalanti A. Mastakouri Dominik Janzing 20 50 0 14 Jun 2022
Causal Discovery and Causal Learning for Fire Resistance Evaluation: Incorporating Domain Knowledge M. Z. Naser A. O. Çiftçioğlu CML 9 3 0 11 Apr 2022
AI Assurance using Causal Inference: Application to Public Policy A. Svetovidov Abdul Rahman Feras A. Batarseh CML 16 1 0 01 Dec 2021
gCastle: A Python Toolbox for Causal Discovery Keli Zhang Shengyu Zhu Marcus Kalander Ignavier Ng Junjian Ye Zhitang Chen Lujia Pan CML 27 60 0 30 Nov 2021