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math.PR2024
Extremal Eigenvalues of Random Kernel Matrices with Polynomial Scaling
David Kogan, Sagnik Nandy, Jiaoyang Huang
We study the spectral norm of random kernel matrices with polynomial scaling, where the number of samples scales polynomially with the data dimension. In this regime, Lu and Yau (2…
stat.ME2024★ 1 cited
Multimodal data integration and cross-modal querying via orchestrated approximate message passing
Sagnik Nandy, Zongming Ma
The need for multimodal data integration arises naturally when multiple complementary sets of features are measured on the same sample. Under a dependent multifactor model, we deve…
stat.ME2024
PriME: Privacy-aware Membership profile Estimation in networks
Abhinav Chakraborty, Sayak Chatterjee, Sagnik Nandy
This paper presents a novel approach to estimating community membership probabilities for network vertices generated by the Degree Corrected Mixed Membership Stochastic Block Model…