DoWhy: Addressing Challenges in Expressing and Validating Causal
Assumptions

DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions

27 August 2021

Vasilis Syrgkanis

Papers citing "DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions"

15 / 15 papers shown

Title
Causal machine learning for predicting treatment outcomes Stefan Feuerriegel Dennis Frauen Valentyn Melnychuk J. Schweisthal Konstantin Hess Alicia Curth Stefan Bauer Niki Kilbertus Isaac S. Kohane Mihaela van der Schaar CML 24 90 0 11 Oct 2024
Causal machine learning for sustainable agroecosystems Vasileios Sitokonstantinou Emiliano Díaz Salas Porras Jordi Cerda Bautista M. Piles Ioannis Athanasiadis ... Giulia Martini Lily-belle Sweet Ilias Tsoumas Jakob Zscheischler Gustau Camps-Valls 40 1 0 23 Aug 2024
Towards More Trustworthy and Interpretable LLMs for Code through Syntax-Grounded Explanations David Nader-Palacio Daniel Rodríguez-Cárdenas Alejandro Velasco Dipin Khati Kevin Moran Denys Poshyvanyk 55 6 0 12 Jul 2024
Transparency challenges in policy evaluation with causal machine learning -- improving usability and accountability Patrick Rehill Nicholas Biddle CML ELM 36 3 0 20 Oct 2023
Benchmarking Causal Study to Interpret Large Language Models for Source Code Daniel Rodríguez-Cárdenas David Nader-Palacio Dipin Khati Henry Burke Denys Poshyvanyk CML ELM 27 15 0 23 Aug 2023
Evaluating and Explaining Large Language Models for Code Using Syntactic Structures David Nader-Palacio Alejandro Velasco Daniel Rodríguez-Cárdenas Kevin Moran Denys Poshyvanyk 34 8 0 07 Aug 2023
FAIR: A Causal Framework for Accurately Inferring Judgments Reversals Minghua He Nanfei Gu Yuntao Shi Qionghui Zhang Yaying Chen 16 1 0 20 Jun 2023
Causal Reasoning and Large Language Models: Opening a New Frontier for Causality Emre Kıcıman Robert Osazuwa Ness Amit Sharma Chenhao Tan LRM ELM 24 259 0 28 Apr 2023
Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning Matthew Ashman Chao Ma Agrin Hilmkil Joel Jennings Cheng Zhang CML AI4CE 22 10 0 22 Mar 2023
Reasoning-Based Software Testing L. Giamattei R. Pietrantuono S. Russo LRM 16 5 0 02 Mar 2023
Toward a Theory of Causation for Interpreting Neural Code Models David Nader-Palacio Alejandro Velasco Nathan Cooper Á. Rodríguez Kevin Moran Denys Poshyvanyk 28 16 0 07 Feb 2023
Counterfactual (Non-)identifiability of Learned Structural Causal Models Arash Nasr-Esfahany Emre Kıcıman 26 11 0 22 Jan 2023
Quantitative probing: Validating causal models using quantitative domain knowledge Daniel Grünbaum M. L. Stern E. Lang 18 5 0 07 Sep 2022
Efficient Real-world Testing of Causal Decision Making via Bayesian Experimental Design for Contextual Optimisation Desi R. Ivanova Joel Jennings Cheng Zhang Adam Foster CML 29 2 0 12 Jul 2022
Why did I fail? A Causal-based Method to Find Explanations for Robot Failures Maximilian Diehl Karinne Ramirez-Amaro 41 30 0 09 Apr 2022