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Causal Inference

523 directly classified papers

Papers per year

Papers

Balanced Policy Evaluation and Learning NIPS 2018
Removing Hidden Confounding by Experimental Grounding NIPS 2018
Uplift Modeling from Separate Labels NIPS 2018
Identification and Estimation of Causal Effects from Dependent Data NIPS 2018
Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design ICML 2018
Detecting non-causal artifacts in multivariate linear regression models ICML 2018
Mixed Causal Structure Discovery with Application to Prescriptive Pricing IJCAI 2018
Equality of Opportunity in Classification: A Causal Approach NIPS 2018
Direct Estimation of Differences in Causal Graphs NIPS 2018
Experimental Design for Cost-Aware Learning of Causal Graphs NIPS 2018
Fast Estimation of Causal Interactions using Wold Processes NIPS 2018
Representation Learning for Treatment Effect Estimation from Observational Data NIPS 2018
Causality Analysis of Twitter Sentiments and Stock Market Returns ACL 2018
Computationally and statistically efficient learning of causal Bayes nets using path queries NIPS 2018
Representation Balancing MDPs for Off-policy Policy Evaluation NIPS 2018
Causal Discovery from Discrete Data using Hidden Compact Representation NIPS 2018
Causal Inference with Noisy and Missing Covariates via Matrix Factorization NIPS 2018
Learning and Testing Causal Models with Interventions NIPS 2018
Causal Inference via Kernel Deviance Measures NIPS 2018
A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks PGM 2018
Causal Structure Learning via Temporal Markov Networks PGM 2018
Challenges of Using Text Classifiers for Causal Inference EMNLP 2018
When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness NIPS 2017
Permutation-based Causal Inference Algorithms with Interventions NIPS 2017
Quantifying how much sensory information in a neural code is relevant for behavior NIPS 2017