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Causal Inference

3310 directly classified papers

Papers per year

Papers

Network Diffusions via Neural Mean-Field Dynamics NIPS 2020
Counterfactual Vision and Language Learning CVPR 2020
COT-GAN: Generating Sequential Data via Causal Optimal Transport NIPS 2020
Learning Disentangled Representations and Group Structure of Dynamical Environments NIPS 2020
On Completeness-aware Concept-Based Explanations in Deep Neural Networks NIPS 2020
The impact of preprint servers in the formation of novel ideas EMNLP 2020
On Learning Causal Structures from Non-Experimental Data without Any Faithfulness Assumption ALT 2020
Differentiable Causal Discovery from Interventional Data NIPS 2020
Exploring Logically Dependent Multi-task Learning with Causal Inference EMNLP 2020
Neural Decipherment via Minimum-Cost Flow: From Ugaritic to Linear B ACL 2019
Near-Optimal Reinforcement Learning in Dynamic Treatment Regimes NIPS 2019
The Label Complexity of Active Learning from Observational Data NIPS 2019
Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text EMNLP 2019
A Corpus for Modeling User and Language Effects in Argumentation on Online Debating ACL 2019
Structural Relational Reasoning of Point Clouds CVPR 2019
Specific and Shared Causal Relation Modeling and Mechanism-Based Clustering NIPS 2019
Deep Generalized Method of Moments for Instrumental Variable Analysis NIPS 2019
Kernel Instrumental Variable Regression NIPS 2019
Constraint-based Causal Structure Learning with Consistent Separating Sets NIPS 2019
Variance Reduction in Bipartite Experiments through Correlation Clustering NIPS 2019
Using Embeddings to Correct for Unobserved Confounding in Networks NIPS 2019
Learning Bayesian Networks with Low Rank Conditional Probability Tables NIPS 2019
Debiased Bayesian inference for average treatment effects NIPS 2019
The Case for Evaluating Causal Models Using Interventional Measures and Empirical Data NIPS 2019
Perceiving the arrow of time in autoregressive motion NIPS 2019