Causal Inference

Causal inference aims to determine cause-and-effect relationships from data, going beyond mere correlations to understand how interventions impact outcomes. Current research heavily focuses on addressing challenges like confounding (the influence of unobserved variables), particularly in high-dimensional data and complex treatments (e.g., text, sequences of actions), employing methods such as structural causal models, Bayesian Additive Regression Trees (BART), and various neural network architectures including Graph Neural Networks (GNNs). These advancements are crucial for improving the reliability of causal conclusions across diverse fields, from medicine and economics to personalized interventions and policy-making.

387papers

Papers - Page 12

November 20, 2023

Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens
Jean Feng, Adarsh Subbaswamy, Alexej Gossmann, Harvineet Singh, Berkman Sahiner, Mi-Ok Kim, Gene Pennello, Nicholas Petrick+2
Machine Learning Algorithm Monitoring Strategy Causal Inference Machine Learning Performative Power

November 15, 2023

Causal prediction models for medication safety monitoring: The diagnosis of vancomycin-induced acute kidney injury
Izak Yasrebi-de Kom, Joanna Klopotowska, Dave Dongelmans, Nicolette De Keizer, Kitty Jager, Ameen Abu-Hanna, Giovanni Cinà
Causal Inference Acute Kidney Injury Causal Prediction Drug Safety Medical Diagnosis Causal Model Causal Direction Causality Analysis

November 13, 2023

November 12, 2023

Omitted Labels in Causality: A Study of Paradoxes
Bijan Mazaheri, Siddharth Jain, Matthew Cook, Jehoshua Bruck
Fermi Paradox Different Context Causal Inference Causal Pattern Study Feature Social Choice Missing Label

November 9, 2023

Causal Inference from Text: Unveiling Interactions between Variables
Yuxiang Zhou, Yulan He
Text Modality Variable Model Biased Causal Effect Relevant Covariates Deep Interaction Causal Inference Non Confounding Covariates Causal Effect Latent Feature

November 8, 2023

Causal Inference on Investment Constraints and Non-stationarity in Dynamic Portfolio Optimization through Reinforcement Learning
Yasuhiro Nakayama, Tomochika Sawaki
Non Stationarity Reinforcement Learning Cost Constraint Causal Inference

November 7, 2023

Learned Causal Method Prediction
Shantanu Gupta, Cheng Zhang, Agrin Hilmkil
Causal Inference Synthetic Causal Causal Prediction Causal Discovery

November 3, 2023

October 31, 2023

October 30, 2023

Generator Identification for Linear SDEs with Additive and Multiplicative Noise
Yuanyuan Wang, Xi Geng, Wei Huang, Biwei Huang, Mingming Gong
Feed Additive Interventional Distribution Causal Inference Multiplicative Noise Parameter Identifiability Synchronous Generator

October 26, 2023

Causal Modeling with Stationary Diffusions
Lars Lorch, Andreas Krause, Bernhard Schölkopf
Diffusion Model Causal Inference Stochastic Differential Equation Causal Model Causal Graph

October 25, 2023

October 24, 2023

Analyzing User Characteristics of Hate Speech Spreaders on Social Media
Dominique Geissler, Abdurahman Maarouf, Stefan Feuerriegel
User Base Hate Speech Causal Inference Causal Interpretation Social Medium Propensity Score Social Medium Data

October 23, 2023

Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference
Aniket Vashishtha, Abbavaram Gowtham Reddy, Abhinav Kumar, Saketh Bachu, Vineeth N Balasubramanian, Amit Sharma
Causal Graph Causal Inference Causal Discovery Algorithm Causal Order

October 21, 2023

Counterfactual Prediction Under Selective Confounding
Sohaib Kiani, Jared Barton, Jon Sushinsky, Lynda Heimbach, Bo Luo
Non Confounding Covariates Text Based Confounders Causal Inference Interpretable Causal Counterfactual Prediction

Causal Inference

Papers - Page 12

Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens

Causal prediction models for medication safety monitoring: The diagnosis of vancomycin-induced acute kidney injury

Do large language models and humans have similar behaviors in causal inference with script knowledge?

The Impact of Generative Artificial Intelligence on Market Equilibrium: Evidence from a Natural Experiment

Omitted Labels in Causality: A Study of Paradoxes

Causal Inference from Text: Unveiling Interactions between Variables

Causal Inference on Investment Constraints and Non-stationarity in Dynamic Portfolio Optimization through Reinforcement Learning

Learned Causal Method Prediction

Structured Neural Networks for Density Estimation and Causal Inference

High Precision Causal Model Evaluation with Conditional Randomization

Text-Transport: Toward Learning Causal Effects of Natural Language

An Introduction to Causal Inference Methods for Observational Human-Robot Interaction Research

Generator Identification for Linear SDEs with Additive and Multiplicative Noise

Causal Modeling with Stationary Diffusions

Causal Q-Aggregation for CATE Model Selection

CATE Lasso: Conditional Average Treatment Effect Estimation with High-Dimensional Linear Regression

Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs

Analyzing User Characteristics of Hate Speech Spreaders on Social Media

Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference

Counterfactual Prediction Under Selective Confounding