Caroline Uhler

Latest

• Identifiability Guarantees for Causal Disentanglement from Soft Interventions
• Unpaired Multi-Domain Causal Representation Learning
• Active Learning for Optimal Intervention Design in Causal Models
• Linear Causal Disentanglement via Interventions
• The DeCAMFounder: Non-Linear Causal Discovery in the Presence of Hidden Variables
• Causal Structure Learning: a Combinatorial Perspective
• Causal Imputation via Synthetic Interventions
• Causal Structure Discovery between Clusters of Nodes Induced by Latent Factors
• Maximum Likelihood Estimation for Brownian Motion Tree Models Based on One Sample
• Matching a Desired Causal State via Shift Interventions
• Causal Network Models of SARS-CoV-2 Expression and Aging to Identify Candidates for Drug Repurposing
• Efficient Permutation Discovery in Causal DAGs
• Ordering-Based Causal Structure Learning in the Presence of Latent Variables
• Permutation-Based Causal Structure Learning with Unknown Intervention Targets
• Size of Interventional Markov Equivalence Classes in Random DAG Models
• ABCD-Strategy: Budgeted Experimental Design for Targeted Causal Structure Discovery
• Direct Estimation of Differences in Causal Graphs