Co-occurring keywords · papers mentioning both
Papers
MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms
NeurIPS 2021
Model-Free and Model-Based Policy Evaluation when Causality is Uncertain
ICML 2021
Model updating after interventions paradoxically introduces bias
AISTATS 2021
Multi-Cause Effect Estimation with Disentangled Confounder Representation
IJCAI 2021
Necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables
NeurIPS 2021
Nested Counterfactual Identification from Arbitrary Surrogate Experiments
NeurIPS 2021
Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms
AISTATS 2021
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders
AISTATS 2021
On Disentangled Representations Learned from Correlated Data
ICML 2021
On Inductive Biases for Heterogeneous Treatment Effect Estimation
NeurIPS 2021
Operationalizing Complex Causes: A Pragmatic View of Mediation
ICML 2021
Out-of-Distribution Generalization via Risk Extrapolation (REx)
ICML 2021
PAC Learning of Causal Trees with Latent Variables
AAAI 2021
Partial Identifiability in Discrete Data with Measurement Error
UAI 2021
Path dependent structural equation models
UAI 2021
Permutation Weighting
ICML 2021
Policy Analysis using Synthetic Controls in Continuous-Time
ICML 2021
Provable Guarantees on the Robustness of Decision Rules to Causal Interventions
IJCAI 2021
Provably Efficient Causal Reinforcement Learning with Confounded Observational Data
NeurIPS 2021
Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
ICML 2021
Recovering Latent Causal Factor for Generalization to Distributional Shifts
NeurIPS 2021
Regression Discontinuity Design under Self-selection
AISTATS 2021
Regret Minimization for Causal Inference on Large Treatment Space
AISTATS 2021
Representation Learning via Invariant Causal Mechanisms
ICLR 2021
Robustness to Spurious Correlations in Text Classification via Automatically Generated Counterfactuals
AAAI 2021