conftrace_

interventional distribution

15 papers

Explore in graph

Co-occurring keywords

causal inference (1630) causal discovery (460) structural causal model (184) markov equivalence class (37) causal generalization (3) causal structure learning (63) causal bandit (16) causal mechanism shift (4) sum-product network (49) causal abstraction (17)

Papers

Learning Mixtures of Unknown Causal Interventions NIPS 2024
Identifying General Mechanism Shifts in Linear Causal Representations NIPS 2024
Additive Causal Bandits with Unknown Graph ICML 2023
Sample Complexity of Distinguishing Cause from Effect AISTATS 2023
Estimating Joint Treatment Effects by Combining Multiple Experiments ICML 2023
Estimating Causal Effects Identifiable from a Combination of Observations and Experiments NIPS 2023
Jointly Learning Consistent Causal Abstractions Over Multiple Interventional Distributions CLEAR 2023
On the Interventional Kullback-Leibler Divergence CLEAR 2023
Efficient interventional distribution learning in the PAC framework AISTATS 2022
VACA: Designing Variational Graph Autoencoders for Causal Queries AAAI 2022
Counterfactual Transportability: A Formal Approach ICML 2022
Causal forecasting: generalization bounds for autoregressive models UAI 2022
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models NIPS 2021
Simplifying Probabilistic Expressions in Causal Inference JMLR 2017
Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs JMLR 2012