Causal Inference
636 papers
Papers per year
1
4
1
5
1
2
5
4
7
14
12
23
39
52
63
90
91
114
90
18
'10
'15
'20
'25
Papers
Applications of Common Entropy for Causal Inference
NeurIPS 2020
A Simultaneous Discover-Identify Approach to Causal Inference in Linear Models
AAAI 2020
Bayesian network structure learning with causal effects in the presence of latent variables
PGM 2020
Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses
NeurIPS 2020
Causal Discovery from Multiple Data Sets with Non-Identical Variable Sets
AAAI 2020
Causal Estimation with Functional Confounders
NeurIPS 2020
Causal inference in degenerate systems: An impossibility result
AISTATS 2020
Causal Inference of Script Knowledge
EMNLP 2020
Causally Denoise Word Embeddings Using Half-Sibling Regression
AAAI 2020
Conditional Causal Relationships between Emotions and Causes in Texts
EMNLP 2020
Cost-Effective Incentive Allocation via Structured Counterfactual Inference
AAAI 2020
Deriving Bounds And Inequality Constraints Using Logical Relations Among Counterfactuals
UAI 2020
Developing a Machine Learning Tool for Dynamic Cancer Treatment Strategies
AAAI 2020
Efficient Adjustment Sets for Population Average Causal Treatment Effect Estimation in Graphical Models
JMLR 2020
Entropic Causal Inference: Identifiability and Finite Sample Results
NeurIPS 2020
Estimating Causal Effects Using Weighting-Based Estimators
AAAI 2020
Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks
NeurIPS 2020
FairyTED: A Fair Rating Predictor for TED Talk Data
AAAI 2020
General Control Functions for Causal Effect Estimation from IVs
NeurIPS 2020
Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs
NeurIPS 2020
General Transportability – Synthesizing Observations and Experiments from Heterogeneous Domains
AAAI 2020
High-recall causal discovery for autocorrelated time series with latent confounders
NeurIPS 2020
How Robust are the Estimated Effects of Nonpharmaceutical Interventions against COVID-19?
NeurIPS 2020
Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models
NeurIPS 2020
Integrating Overlapping Datasets Using Bivariate Causal Discovery
AAAI 2020