ملف الباحث
Sivaraman Balakrishnan
ورقتان في مجموعة PaperMetrix
المنشورات
أوراق هذا المؤلف
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Gaussian Mixture Clustering Using Relative Tests of Fit
2019 · arXiv (Cornell University)
We consider clustering based on significance tests for Gaussian Mixture Models (GMMs). Our starting point is the SigClust method developed by Liu et al. (2008), which introduces a test based on the k-means objective (with …
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Leveraging Unlabeled Data to Predict Out-of-Distribution Performance
2022 · arXiv (Cornell University)
Real-world machine learning deployments are characterized by mismatches between the source (training) and target (test) distributions that may cause performance drops. In this work, we investigate methods for predicting the target domain accuracy using only …