Co-occurring keywords · papers mentioning both
Papers
Causality Analysis of Twitter Sentiments and Stock Market Returns
ACL 2018
Causal Structure Learning via Temporal Markov Networks
PGM 2018
Cause-Effect Inference by Comparing Regression Errors
AISTATS 2018
Challenges of Using Text Classifiers for Causal Inference
EMNLP 2018
Complete Graphical Characterization and Construction of Adjustment Sets in Markov Equivalence Classes of Ancestral Graphs
JMLR 2018
Confounding-Robust Policy Improvement
NeurIPS 2018
Consistent Estimation given Missing Data
PGM 2018
Counterfactual Resimulation for Causal Analysis of Rule-Based Models
IJCAI 2018
Detecting non-causal artifacts in multivariate linear regression models
ICML 2018
Direct Estimation of Differences in Causal Graphs
NeurIPS 2018
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions
NeurIPS 2018
Enhancing Identification of Causal Effects by Pruning
JMLR 2018
Equality of Opportunity in Classification: A Causal Approach
NeurIPS 2018
Group Invariance Principles for Causal Generative Models
AISTATS 2018
Human Interaction with Recommendation Systems
AISTATS 2018
Hunting for Discriminatory Proxies in Linear Regression Models
NeurIPS 2018
Identification and Estimation of Causal Effects from Dependent Data
NeurIPS 2018
Implicit Causal Models for Genome-wide Association Studies
ICLR 2018
Instance-Specific Bayesian Network Structure Learning
PGM 2018
Instrument-Armed Bandits
ALT 2018
Invariant Models for Causal Transfer Learning
JMLR 2018
Learning and Testing Causal Models with Interventions
NeurIPS 2018
Learning linear structural equation models in polynomial time and sample complexity
AISTATS 2018
Learning Quadratic Variance Function (QVF) DAG Models via OverDispersion Scoring (ODS)
JMLR 2018
Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design
ICML 2018