Machine learning in policy evaluation: new tools for causal inference

Machine learning in policy evaluation: new tools for causal inference

1 March 2019

Papers citing "Machine learning in policy evaluation: new tools for causal inference"

15 / 15 papers shown

Title
Graphical Models for Decision-Making: Integrating Causality and Game Theory Maarten C. Vonk Mauricio Gonzalez Soto Anna V. Kononova CML 42 1 0 16 Apr 2025
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models Ruta Binkyte Ivaxi Sheth Zhijing Jin Mohammad Havaei Bernhard Schölkopf Mario Fritz 179 0 0 28 Feb 2025
CaTs and DAGs: Integrating Directed Acyclic Graphs with Transformers and Fully-Connected Neural Networks for Causally Constrained Predictions M. Vowels Mathieu Rochat S. Akbari CML GNN OOD 27 0 0 18 Oct 2024
Trust Dynamics and Market Behavior in Cryptocurrency: A Comparative Study of Centralized and Decentralized Exchanges Xintong Wu Wanlin Deng Yuotng Quan Luyao Zhang 46 6 0 26 Apr 2024
Computational Experiments Meet Large Language Model Based Agents: A Survey and Perspective Qun Ma Xiao Xue Deyu Zhou Xiangning Yu Donghua Liu ... Yifan Shen Peilin Ji Juanjuan Li Gang Wang Wanpeng Ma AI4CE LM&Ro LLMAG 21 7 0 01 Feb 2024
Causal Effect Estimation after Propensity Score Trimming with Continuous Treatments Zach Branson Edward H. Kennedy Sivaraman Balakrishnan Larry Wasserman CML 33 4 0 01 Sep 2023
A Free Lunch with Influence Functions? Improving Neural Network Estimates with Concepts from Semiparametric Statistics M. Vowels S. Akbari Necati Cihan Camgöz Richard Bowden 19 4 0 18 Feb 2022
Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance Gabriel Okasa CML 19 6 0 30 Jan 2022
Deep Bayesian Estimation for Dynamic Treatment Regimes with a Long Follow-up Time A. Lin Jie Lu Junyu Xuan Fujin Zhu Guangquan Zhang CML 13 0 0 20 Sep 2021
Addressing Fairness, Bias and Class Imbalance in Machine Learning: the FBI-loss E. Ferrari D. Bacciu FaML AI4CE 25 6 0 13 May 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery M. Vowels Necati Cihan Camgöz Richard Bowden CML 39 296 0 03 Mar 2021
Targeted VAE: Variational and Targeted Learning for Causal Inference M. Vowels Necati Cihan Camgöz Richard Bowden BDL OOD CML 13 8 0 28 Sep 2020
A Causal Lens for Peeking into Black Box Predictive Models: Predictive Model Interpretation via Causal Attribution A. Khademi Vasant Honavar CML 17 9 0 01 Aug 2020
Causality-aware counterfactual confounding adjustment for feature representations learned by deep models E. C. Neto AI4CE OOD BDL CML 30 2 0 20 Apr 2020
Tackling Climate Change with Machine Learning David Rolnick P. Donti L. Kaack K. Kochanski Alexandre Lacoste ... Demis Hassabis John C. Platt F. Creutzig J. Chayes Yoshua Bengio AI4Cl AI4CE 33 785 0 10 Jun 2019