← Core AI
Artificial Intelligence › Core AI ›

Causal Inference

3310 directly classified papers

Papers per year

Papers

Ontology Reasoning with Deep Neural Networks (Extended Abstract) IJCAI 2020
On Computational Aspects of Iterated Belief Change IJCAI 2020
STReSSD: Sim-To-Real from Sound for Stochastic Dynamics CORL 2020
DROGON: A Trajectory Prediction Model based on Intention-Conditioned Behavior Reasoning CORL 2020
A Class of Algorithms for General Instrumental Variable Models NIPS 2020
Fair Multiple Decision Making Through Soft Interventions NIPS 2020
Causal Discovery in Physical Systems from Videos NIPS 2020
Characterizing Optimal Mixed Policies: Where to Intervene and What to Observe NIPS 2020
Towards practical differentially private causal graph discovery NIPS 2020
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach NIPS 2020
On the Role of Sparsity and DAG Constraints for Learning Linear DAGs NIPS 2020
Applications of Common Entropy for Causal Inference NIPS 2020
Active Invariant Causal Prediction: Experiment Selection through Stability NIPS 2020
Adaptive Experimental Design with Temporal Interference: A Maximum Likelihood Approach NIPS 2020
Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models NIPS 2020
Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial Approach NIPS 2020
General Control Functions for Causal Effect Estimation from IVs NIPS 2020
Uncertainty Quantification for Inferring Hawkes Networks NIPS 2020
Identifying causal effects in maximally oriented partially directed acyclic graphs UAI 2020
Anchored Causal Inference in the Presence of Measurement Error UAI 2020
Identification and Estimation of Causal Effects Defined by Shift Interventions UAI 2020
MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models UAI 2020
Constraint-Based Causal Discovery using Partial Ancestral Graphs in the presence of Cycles UAI 2020
Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets UAI 2020
Towards Scalable Bayesian Learning of Causal DAGs NIPS 2020