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Causal Inference

3310 directly classified papers

Papers per year

Papers

Dynamic Causal Bayesian Optimization NIPS 2021
Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data NIPS 2021
Causal Effect Inference for Structured Treatments NIPS 2021
Causal Bandits with Unknown Graph Structure NIPS 2021
MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms NIPS 2021
Estimating Multi-cause Treatment Effects via Single-cause Perturbation NIPS 2021
Asymptotically Best Causal Effect Identification with Multi-Armed Bandits NIPS 2021
Double Machine Learning Density Estimation for Local Treatment Effects with Instruments NIPS 2021
Matching a Desired Causal State via Shift Interventions NIPS 2021
Learning latent causal graphs via mixture oracles NIPS 2021
Recovering Latent Causal Factor for Generalization to Distributional Shifts NIPS 2021
Necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables NIPS 2021
Actively Identifying Causal Effects with Latent Variables Given Only Response Variable Observable NIPS 2021
Multi-task Learning of Order-Consistent Causal Graphs NIPS 2021
Causal Identification with Matrix Equations NIPS 2021
Answering Complex Causal Queries With the Maximum Causal Set Effect NIPS 2021
Collaborative Causal Discovery with Atomic Interventions NIPS 2021
Causal Attention for Vision-Language Tasks CVPR 2021
Statistical Undecidability in Linear, Non-Gaussian Causal Models in the Presence of Latent Confounders NIPS 2021
Learning Treatment Effects in Panels with General Intervention Patterns NIPS 2021
Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance NIPS 2021
Discovering Hidden Physics Behind Transport Dynamics CVPR 2021
Indoor Lighting Estimation Using an Event Camera CVPR 2021
It’s quality and quantity: the effect of the amount of comments on online suicidal posts EMNLP 2021
Identifying Causal Influences on Publication Trends and Behavior: A Case Study of the Computational Linguistics Community EMNLP 2021