Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Scalable Techniques for Mining Causal Structures
A Bayesian Approach to Learning Causal Networks
Entropic Causal Inference
causal models and learning from data : integrating causal modeling and statistical estimation .
Campbell's and Rubin's Perspectives on Causal Inference
A General Identification Condition for Causal Effects
Causal Discovery on Discrete Data with Extensions to Mixture Model
Learning Textual Graph Patterns to Detect Causal Event Relations
Axiomatizing Causal Reasoning
Extracting Temporal and Causal Relations between Events
Causal Inference on Event Sequences
Causality: Models, Reasoning, and Inference
Aspects Of Graphical Models Connected With Causality
Handling Multiword Expressions in Causality Estimation.
Bayesian updating in causal probabilistic networks by local computations
An Analysis of Causality between Events and its Relation to Temporal Information
Causal Bandits: Learning Good Interventions via Causal Inference
An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data
How to Make Causal Inferences Using Texts
Generating event causality hypotheses through semantic relations
Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms
Attentive Memory Networks: Efficient Machine Reading for Conversational Search
Information theoretic sensor data selection for active object recognition and state estimation
Birds of a Feather Tweet Together: Integrating Network and Content Analyses to Examine Cross-Ideology Exposure on Twitter
Dynamics of interpersonal coordination
maximum likelihood from incomplete data via the em - algorithm plus discussions on the paper .