Causal Inference

May 14, 2024

A Brief Introduction to Causal Inference in Machine Learning
Kyunghyun Cho
Machine Learning Causal Inference Distribution Generalization Brief Introduction
CIER: A Novel Experience Replay Approach with Causal Inference in Deep Reinforcement Learning
Jingwen Wang, Dehui Du, Yida Li, Yiyang Li, Yikang Chen
Deep Reinforcement Learning Causal Inference Experience Replay Temporal Correlation

May 11, 2024

Semi-supervised Anomaly Detection via Adaptive Reinforcement Learning-Enabled Method with Causal Inference for Sensor Signals
Xiangwei Chen, Ruliang Xiaoa, Zhixia Zeng, Zhipeng Qiu, Shi Zhang, Xin Du
Reinforcement Learning Anomaly Detection Causal Inference Practical Method Human Sensing Semi Supervised Anomaly Detection Causal Reinforcement Learning
Causal Inference from Slowly Varying Nonstationary Processes
Kang Du, Yu Xiang
Time Series Causal Inference Structural Causal Model Non Stationarity Causal Effect Identification

May 6, 2024

May 5, 2024

On Probabilistic and Causal Reasoning with Summation Operators
Duligur Ibeling, Thomas F. Icard, Milan Mossé
Causal Inference Probabilistic Model Causal Direction Causal Reasoning Complexity Result Nonlinear Operator Mapping Wave Speed Probabilistic Language

May 3, 2024

Metalearners for Ranking Treatment Effects
Toon Vanderschueren, Wouter Verbeke, Felipe Moraes, Hugo Manuel Proença
Causal Inference Treatment Effect Big Gain Sub Optimal Policy Budget Allocation Metalearning Algorithm Allocation Policy

May 2, 2024

A deep causal inference model for fully-interpretable travel behaviour analysis
Kimia Kamal, Bilal Farooq
Causal Inference Travel Mode Causal Inference Task Travel Behavior Deep Causal

April 30, 2024

Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference
Haoxuan Li, Chunyuan Zheng, Sihao Ding, Peng Wu, Zhi Geng, Fuli Feng, Xiangnan He
Recommender System Causal Inference Catastrophic Interference Social Awareness Unbiased Learning Selection Bias

April 28, 2024

A General Causal Inference Framework for Cross-Sectional Observational Data
Yonghe Zhao, Huiyan Sun
Causal Inference Observational Data

April 25, 2024

Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules
Michael Lingzhi Li, Kosuke Imai
Causal Inference Causal Machine Learning Sampling Framework Neyman Allocation

April 24, 2024

Collaborative Heterogeneous Causal Inference Beyond Meta-analysis
Tianyu Guo, Sai Praneeth Karimireddy, Michael I. Jordan
Causal Inference Meta Analysis Propensity Score Inverse Propensity Weighting Heterogeneous Causal Dense Layer

April 17, 2024

The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology
Juan L. Gamella, Jonas Peters, Peter Bühlmann
Causal Inference Causal Discovery Causal Model Physical System Test Bed

April 9, 2024

Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training
Ming-Kun Xie, Jia-Hao Xiao, Pei Peng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang
Causal Inference Patch Based Counterfactual Reasoning Multi Label Image Classification Feature Correlation

April 8, 2024

Evaluating Interventional Reasoning Capabilities of Large Language Models
Tejas Kasetty, Divyat Mahajan, Gintare Karolina Dziugaite, Alexandre Drouin, Dhanya Sridhar
Causal Inference Causal Reasoning Causal View

April 7, 2024

CAVIAR: Categorical-Variable Embeddings for Accurate and Robust Inference
Anirban Mukherjee, Hannah Hanwen Chang
High Dimensional Causal Inference Categorical Data Variable Selection Robust Inference Categorical Encoding

April 1, 2024

Predictive Performance Comparison of Decision Policies Under Confounding
Luke Guerdan, Amanda Coston, Kenneth Holstein, Zhiwei Steven Wu
Causal Inference Predictive Model Predictive Performance Comparative Evaluation Decision Policy

March 31, 2024

Papers

A Brief Introduction to Causal Inference in Machine Learning

CIER: A Novel Experience Replay Approach with Causal Inference in Deep Reinforcement Learning

Semi-supervised Anomaly Detection via Adaptive Reinforcement Learning-Enabled Method with Causal Inference for Sensor Signals

Causal Inference from Slowly Varying Nonstationary Processes

Causal inference approach to appraise long-term effects of maintenance policy on functional performance of asphalt pavements

Deep Learning for Causal Inference: A Comparison of Architectures for Heterogeneous Treatment Effect Estimation

On Probabilistic and Causal Reasoning with Summation Operators

Metalearners for Ranking Treatment Effects

A deep causal inference model for fully-interpretable travel behaviour analysis

Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference

A General Causal Inference Framework for Cross-Sectional Observational Data

Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules

Collaborative Heterogeneous Causal Inference Beyond Meta-analysis

The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology

Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training

Evaluating Interventional Reasoning Capabilities of Large Language Models

CAVIAR: Categorical-Variable Embeddings for Accurate and Robust Inference

Predictive Performance Comparison of Decision Policies Under Confounding

C-XGBoost: A tree boosting model for causal effect estimation

Unveiling the Impact of Macroeconomic Policies: A Double Machine Learning Approach to Analyzing Interest Rate Effects on Financial Markets