Publications

(2025). Knowledge-Enriched Machine Learning for Tabular Data. NeuS 2025.
(2025). The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications. CLeaR 2025.
(2025). Probably Approximately Correct High-dimensional Causal Effect Estimation Given a Valid Adjustment Set. CLeaR 2025.
(2025). Synthetic Potential Outcomes for Mixtures of Treatment Effects}. AISTATS 2025.
(2024). Causal Imputation for Counterfactual SCMs: Bridging Graphs and Latent Factor Models. CLeaR 2024.
(2023). Unpaired Multi-Domain Causal Representation Learning. NeurIPS 2023.
(2023). Identifiability Guarantees for Causal Disentanglement from Soft Interventions. NeurIPS 2023.
(2023). Active Learning for Optimal Intervention Design in Causal Models. Nature Machine Intelligence.
(2023). Linear Causal Disentanglement via Interventions. ICML 2023.