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Causal Inference

934 directly classified papers

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Papers

A Logic-Driven Framework for Consistency of Neural Models EMNLP 2019
Commonsense Inference in Natural Language Processing (COIN) - Shared Task Report EMNLP 2019
How Pre-trained Word Representations Capture Commonsense Physical Comparisons EMNLP 2019
Commonsense inference in human-robot communication EMNLP 2019
Towards Generalizable Neuro-Symbolic Systems for Commonsense Question Answering EMNLP 2019
Cracking the Contextual Commonsense Code: Understanding Commonsense Reasoning Aptitude of Deep Contextual Representations EMNLP 2019
Reasoning Over Paragraph Effects in Situations EMNLP 2019
Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder EMNLP 2019
Combining Knowledge Hunting and Neural Language Models to Solve the Winograd Schema Challenge ACL 2019
Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation NIPS 2019
Perceiving the arrow of time in autoregressive motion NIPS 2019
The Case for Evaluating Causal Models Using Interventional Measures and Empirical Data NIPS 2019
Constraint-based Causal Structure Learning with Consistent Separating Sets NIPS 2019
Exploiting Explicit Paths for Multi-hop Reading Comprehension ACL 2019
Adaptive Planning with Evidence Based Prediction for Improved Fluency in Routine Human-Robot Collaborative Tasks AAAI 2019
On Multi-Cause Approaches to Causal Inference with Unobserved Counfounding: Two Cautionary Failure Cases and A Promising Alternative AISTATS 2019
ABCD-Strategy: Budgeted Experimental Design for Targeted Causal Structure Discovery AISTATS 2019
Size of Interventional Markov Equivalence Classes in random DAG models AISTATS 2019
A Potential Outcomes Calculus for Identifying Conditional Path-Specific Effects AISTATS 2019
Learning the Structure of a Nonstationary Vector Autoregression AISTATS 2019
Interpretable Almost-Exact Matching for Causal Inference AISTATS 2019
Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding AISTATS 2019
Causal Discovery in the Presence of Missing Data AISTATS 2019
Building Causal Graphs from Medical Literature and Electronic Medical Records AAAI 2019
Abstracting Causal Models AAAI 2019