Causal Inference

March 29, 2022

SurvCaus : Representation Balancing for Survival Causal Inference
Ayoub Abraich, Agathe Guilloux, Blaise Hanczar
Causal Inference Conditional Average Treatment Effect Counterfactual Inference Individual Treatment Effect Survival Function Balanced Representation
Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets
Vishnu Suresh Lokhande, Rudrasis Chakraborty, Sathya N. Ravi, Vikas Singh
Domain Adaptation Data Set Causal Inference Meaningful Representation Inter Part Equivariance Invariant Representation Nuisance Parameter Equivariant Representation Learning

March 21, 2022

GCF: Generalized Causal Forest for Heterogeneous Treatment Effect Estimation in Online Marketplace
Shu Wan, Chen Zheng, Zhonggen Sun, Mengfan Xu, Xiaoqing Yang, Hongtu Zhu, Jiecheng Guo
Causal Inference Heterogeneous Treatment Effect Online Marketplace Dose Response Causal Forest Heterogeneous Treatment Effect Estimation Continuous Treatment Effect

March 18, 2022

Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies
Shachi Deshpande, Kaiwen Wang, Dhruv Sreenivas, Zheng Li, Volodymyr Kuleshov
Causal Inference Latent Variable Causal Effect Estimation Text Based Confounders Multi Modal Deep Learning

March 10, 2022

Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials
Zhixuan Chu, Stephen L. Rathbun, Sheng Li
Multi Task Causal Inference Treatment Effect Generalizing Clinical Trial

March 1, 2022

Neural Score Matching for High-Dimensional Causal Inference
Oscar Clivio, Fabian Falck, Brieuc Lehmann, George Deligiannidis, Chris Holmes
Causal Inference Score Matching Propensity Score High Dimensional Causal

February 28, 2022

Estimating causal effects with optimization-based methods: A review and empirical comparison
Martin Cousineau, Vedat Verter, Susan A. Murphy, Joelle Pineau
Narrative Review Causal Inference Causal Effect Optimization Method Empirical Comparison

February 25, 2022

Off-Policy Evaluation with Policy-Dependent Optimization Response
Wenshuo Guo, Michael I. Jordan, Angela Zhou
Causal Inference Causal Effect Policy Evaluation Policy Optimization

February 24, 2022

Predicting the impact of treatments over time with uncertainty aware neural differential equations
Edward De Brouwer, Javier González Hernández, Stephanie Hyland
Global Impact Causal Inference High Uncertainty Anticipation Time Matter Neural Ordinary Differential Equation Differential Equation Counterfactual Prediction Accurate Treatment ODE Net

February 22, 2022

February 17, 2022

Counterfactual Analysis of the Impact of the IMF Program on Child Poverty in the Global-South Region using Causal-Graphical Normalizing Flows
Sourabh Balgi, Jose M. Peña, Adel Daoud
Causal Inference Counterfactual Inference Counterfactual Analysis Poverty Level Graphical Normalizing Flow Central Bank

February 10, 2022

Benign-Overfitting in Conditional Average Treatment Effect Prediction with Linear Regression
Masahiro Kato, Masaaki Imaizumi
Causal Inference Linear Regression Conditional Average Treatment Effect Benign Overfitting Causal Prediction

February 9, 2022

Validating Causal Inference Methods
Harsh Parikh, Carlos Varjao, Louise Xu, Eric Tchetgen Tchetgen
Causal Inference

February 7, 2022

February 4, 2022

Deep End-to-end Causal Inference
Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang
Causal Inference Causal Discovery Ground Truth Causal

February 2, 2022

January 31, 2022

ROCK: Causal Inference Principles for Reasoning about Commonsense Causality
Jiayao Zhang, Hongming Zhang, Weijie J. Su, Dan Roth
Complex Reasoning Causal Inference Commonsense Knowledge Commonsense Reasoning Task Causal Assumption Commonsense Causality Temporal Preference

Papers

SurvCaus : Representation Balancing for Survival Causal Inference

Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets

GCF: Generalized Causal Forest for Heterogeneous Treatment Effect Estimation in Online Marketplace

Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies

Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials

Neural Score Matching for High-Dimensional Causal Inference

Estimating causal effects with optimization-based methods: A review and empirical comparison

Off-Policy Evaluation with Policy-Dependent Optimization Response

Predicting the impact of treatments over time with uncertainty aware neural differential equations

Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Real-World Data

Partial Identification with Noisy Covariates: A Robust Optimization Approach

Counterfactual Analysis of the Impact of the IMF Program on Child Poverty in the Global-South Region using Causal-Graphical Normalizing Flows

Benign-Overfitting in Conditional Average Treatment Effect Prediction with Linear Regression

Validating Causal Inference Methods

Targeted-BEHRT: Deep learning for observational causal inference on longitudinal electronic health records

Causal Inference Using Tractable Circuits

Deep End-to-end Causal Inference

Causal Inference Through the Structural Causal Marginal Problem

Some Reflections on Drawing Causal Inference using Textual Data: Parallels Between Human Subjects and Organized Texts

ROCK: Causal Inference Principles for Reasoning about Commonsense Causality