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Benchmarking Bayesian Causal Discovery Methods for Downstream Treatment Effect Estimation
Benchmarking Bayesian Causal Discovery Methods for Downstream Treatment Effect Estimation
The practical utility of causality in decision-making is widely recognized, with causal discovery and inference being inherently …
Workshop on Structured Probabilistic Inference & Generative Modeling (ICML),  2023.
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Differentiable Causal Discovery from Interventional Data
Differentiable Causal Discovery from Interventional Data
Learning a causal directed acyclic graph from data is a challenging task that involves solving a combinatorial problem for which the …
Conference on Neural Information Processing Systems (NeurIPS),  2020.
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Gradient-Based Neural DAG Learning with Interventions
Gradient-Based Neural DAG Learning with Interventions
Decision making based on statistical association alone can be a dangerous en- deavor due to non-causal associations. Ideally, one would …
Workshop at the International Conference on Learning Representations (ICLR),  2020.
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