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Sriram Gopalakrishnan

2 accepted papers

2024

SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies

AAAI 2024technical

With the growing use of machine learning (ML) models in critical domains such as finance and healthcare, the need to offer recourse for those adversely affected by the decisions of ML models has become more important; individuals ought to be provided with recommendations on actions to take for impro…

Cited by 0SourcePDFScholar
2023

On the Constrained Time-Series Generation Problem

NeurIPS 2023poster

Synthetic time series are often used in practical applications to augment the historical time series dataset, amplify the occurrence of rare events and also create counterfactual scenarios. Distributional-similarity (which we refer to as realism) as well as the satisfaction of certain numerical con…

Cited by 46SourcePDFScholar