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Arghya Datta

2 accepted papers

2023

Measuring and Mitigating Local Instability in Deep Neural Networks

ACL 2023findings

Deep Neural Networks (DNNs) are becoming integral components of real world services relied upon by millions of users. Unfortunately, architects of these systems can find it difficult to ensure reliable performance as irrelevant details like random initialization can unexpectedly change the outputs o…

Cited by 4SourcePDFScholar
2023

On the Consistency of Maximum Likelihood Estimation of Probabilistic Principal Component Analysis

NeurIPS 2023poster

Probabilistic principal component analysis (PPCA) is currently one of the most used statistical tools to reduce the ambient dimension of the data. From multidimensional scaling to the imputation of missing data, PPCA has a broad spectrum of applications ranging from science and engineering to quanti…

Cited by 1SourcePDFScholar