← Learning Types
Machine Learning › Learning Types ›

Causal Inference

523 directly classified papers

Papers per year

Papers

Causal Inference for Event Pairs in Multivariate Point Processes NIPS 2021
Learning latent causal graphs via mixture oracles NIPS 2021
Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions NIPS 2021
Efficient Online Estimation of Causal Effects by Deciding What to Observe NIPS 2021
Provably Efficient Causal Reinforcement Learning with Confounded Observational Data NIPS 2021
Double Machine Learning Density Estimation for Local Treatment Effects with Instruments NIPS 2021
Double/Debiased Machine Learning for Dynamic Treatment Effects NIPS 2021
Identification of Partially Observed Linear Causal Models: Graphical Conditions for the Non-Gaussian and Heterogeneous Cases NIPS 2021
Estimating Multi-cause Treatment Effects via Single-cause Perturbation NIPS 2021
Causal Bandits with Unknown Graph Structure NIPS 2021
Causal Effect Inference for Structured Treatments NIPS 2021
Counterfactual Maximum Likelihood Estimation for Training Deep Networks NIPS 2021
Deep Proxy Causal Learning and its Application to Confounded Bandit Policy Evaluation NIPS 2021
Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information NIPS 2021
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data NIPS 2021
Learning Generalized Gumbel-max Causal Mechanisms NIPS 2021
User Retention: A Causal Approach with Triple Task Modeling IJCAI 2021
Path dependent structural equation models UAI 2021
On Inductive Biases for Heterogeneous Treatment Effect Estimation NIPS 2021
Wasserstein Random Forests and Applications in Heterogeneous Treatment Effects AISTATS 2021
Causal Autoregressive Flows AISTATS 2021
Generative Interventions for Causal Learning CVPR 2021
The Blessings of Unlabeled Background in Untrimmed Videos CVPR 2021
Towards Robust Classification Model by Counterfactual and Invariant Data Generation CVPR 2021
Interventional Video Grounding With Dual Contrastive Learning CVPR 2021