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Bayesian Uncertainty

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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Constraining Low-level Representations to Define Effective Confidence Scores
Constraining Low-level Representations to Define Effective Confidence Scores
Neural networks are known to fail with high confidence, especially for data that somehow differs from the training distribution. Such …
Workshop at the Neural Information Processing Systems (NeurIPS),  2022.
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