Co-occurring keywords · papers mentioning both
Papers
Causal Discovery by Interventions via Integer Programming
AAAI 2025
Amortized Active Causal Induction with Deep Reinforcement Learning
NeurIPS 2024
An Interventional Perspective on Identifiability in Gaussian LTI Systems with Independent Component Analysis
CLeaR 2024
Causal Bandits with General Causal Models and Interventions
AISTATS 2024
Bayesian Active Causal Discovery with Multi-Fidelity Experiments
NeurIPS 2023
Minimum Cost Intervention Design for Causal Effect Identification
ICML 2022
Intervention Efficient Algorithms for Approximate Learning of Causal Graphs
ALT 2021
Active Structure Learning of Causal DAGs via Directed Clique Trees
NeurIPS 2020
Efficient Intervention Design for Causal Discovery with Latents
ICML 2020
Experimental Design for Cost-Aware Learning of Causal Graphs
NeurIPS 2018
Cost-Optimal Learning of Causal Graphs
ICML 2017