conftrace_

interventional datum

26 papers

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Co-occurring keywords

causal discovery (460) causal graph (140) causal structure learning (63) directed acyclic graph (245) structure learning (341) causal inference (1630) graphical model (864) markov equivalence class (37) bayesian network (378) causal reasoning (183)

Papers

Sample Efficient Bayesian Learning of Causal Graphs from Interventions NIPS 2024
Causal Optimal Transport of Abstractions CLEAR 2024
Interventional Causal Representation Learning ICML 2023
Causal effect estimation from observational and interventional data through matrix weighted linear estimators UAI 2023
Causal discovery from observational and interventional data across multiple environments NIPS 2023
Causal Structure Learning for Latent Intervened Non-stationary Data ICML 2023
NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning AISTATS 2023
Meek Separators and Their Applications in Targeted Causal Discovery NIPS 2023
Trust Your $\nabla$: Gradient-based Intervention Targeting for Causal Discovery NIPS 2023
Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknown Targets AAAI 2022
IDYNO: Learning Nonparametric DAGs from Interventional Dynamic Data ICML 2022
Verification and search algorithms for causal DAGs NIPS 2022
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning NIPS 2022
Active Bayesian Causal Inference NIPS 2022
Selecting Data Augmentation for Simulating Interventions ICML 2021
Dynamic Causal Bayesian Optimization NIPS 2021
Learning Optimal Cyclic Causal Graphs from Interventional Data PGM 2020
Differentiable Causal Discovery from Interventional Data NIPS 2020
Permutation-Based Causal Structure Learning with Unknown Intervention Targets UAI 2020
ABCD-Strategy: Budgeted Experimental Design for Targeted Causal Structure Discovery AISTATS 2019
Size of Interventional Markov Equivalence Classes in random DAG models AISTATS 2019
Characterizing and Learning Equivalence Classes of Causal DAGs under Interventions ICML 2018
Computationally and statistically efficient learning of causal Bayes nets using path queries NIPS 2018
Permutation-based Causal Inference Algorithms with Interventions NIPS 2017
Learning Acyclic Directed Mixed Graphs from Observations and Interventions PGM 2016