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01/10/2023
Manifold Restricted Interventional Shapley Values
Shapley values are model-agnostic methods for explaining model predictio...
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10/03/2022
Unsupervised Model Selection for Time-series Anomaly Detection
Anomaly detection in time-series has a wide range of practical applicati...
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02/23/2022
Testing Granger Non-Causality in Panels with Cross-Sectional Dependencies
This paper proposes a new approach for testing Granger non-causality on ...
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02/04/2022
Correcting Confounding via Random Selection of Background Variables
We propose a method to distinguish causal influence from hidden confound...
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11/18/2021
Causal Forecasting:Generalization Bounds for Autoregressive Models
Despite the increasing relevance of forecasting methods, the causal impl...
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07/01/2020
Quantifying causal contribution via structure preserving interventions
We introduce 'Causal Information Contribution (CIC)' and 'Causal Varianc...
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12/05/2019
Causal structure based root cause analysis of outliers
We describe a formal approach to identify 'root causes' of outliers obse...
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10/29/2019